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Bridge damage identification based on synchronous statistical moment theory of vehicle–bridge interaction Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-07-25 Yang Yang, Wenming Xu, Anguo Gao, Qingshan Yang, Yuqing Gao
Considering the weak noise resistance and low identification efficiency of traditional bridge damage identification methods, a data‐driven approach based on synchronous statistical moment theory and vehicle–bridge interaction vibration theory is proposed. This method involves two main steps. First, a two‐axle test vehicle is used to collect acceleration response signals synchronously from adjacent
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Multicategory fire damage detection of post‐fire reinforced concrete structural components Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-07-24 Pengfei Wang, Caiwei Liu, Xinyu Wang, Libin Tian, Jijun Miao, Yanchun Liu
This paper introduces an enhanced you only look once (YOLO) v5s‐D network customized for detecting various categories of damage to post‐fire reinforced concrete (RC) components. These damage types encompass surface soot, cracks, concrete spalling, and rebar exposure. A dataset containing 1536 images depicting damaged RC components was compiled. By integrating ShuffleNet, adaptive attention mechanisms
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Telescopic broad Bayesian learning for big data stream Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-07-24 Ka‐Veng Yuen, Sin‐Chi Kuok
In this paper, a novel telescopic broad Bayesian learning (TBBL) is proposed for sequential learning. Conventional broad learning suffers from the singularity problem induced by the complexity explosion as data are accumulated. The proposed TBBL successfully overcomes the challenging issue and is feasible for sequential learning with big data streams. The learning network of TBBL is reconfigurable
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A neural network‐based automated methodology to identify the crack causes in masonry structures Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-07-23 A. Iannuzzo, V. Musone, E. Ruocco
Most masonry constructions exhibit significant crack patterns caused by differential foundation settlements. While modern numerical methods effectively address forward displacement‐based problems, identifying the settlement causing a specific crack pattern remains an unsolved yet crucial challenge. For the first time, this research solves this highly non‐linear back‐engineering problem by proposing
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Cover Image, Volume 39, Issue 15 Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-07-23
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Cover Image, Volume 39, Issue 15 Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-07-23
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An efficient static solver for the lattice discrete particle model Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-07-16 Dongge Jia, John C. Brigham, Alessandro Fascetti
The lattice discrete particle model (LDPM) has been proven to be one of the most appealing computational tools to simulate fracture in quasi‐brittle materials. Despite tremendous advancements in the definition and implementation of the method, solution strategies are still limited to dynamic algorithms, resulting in prohibitive computational costs and challenges related to solution accuracy for quasi‐static
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Enhanced concrete crack detection and proactive safety warning based on I-ST-UNet model Autom. Constr. (IF 9.6) Pub Date : 2024-07-12 He Zhang, Leyuan Ma, Zhenmin Yuan, Hexu Liu
Existing Swin-Transformer-UNet models for concrete crack detection have several limitations, such as weak feature extraction and loss of detailed image information. This paper thus presents an improved Swin-Transformer-UNet (I-ST-UNet) model by embedding Swin-Transformer into UNet. An experimental dataset with 2030 images was used to train and test the I-ST-UNet model. The model showed significant
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Proactive safety hazard identification using visual–text semantic similarity for construction safety management Autom. Constr. (IF 9.6) Pub Date : 2024-07-12 Yiheng Wang, Bo Xiao, Ahmed Bouferguene, Mohamed Al-Hussein
Automated safety management in construction can reduce injuries by identifying hazardous postures, actions, and missing personal protective equipment (PPE). However, existing computer vision (CV) methods have limitations in connecting recognition results to text-based safety rules. To address this issue, this paper presents a multi-modal framework that bridges the gap between construction image monitoring
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A non‐contact identification method of overweight vehicles based on computer vision and deep learning Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-07-12 Daoheng Li, Meiyu Liu, Lu Yang, Han Wei, Jie Guo
The phenomenon of overweight vehicles severely threatens traffic safety and the service life of transportation infrastructure. Rapid and effective identification of overweight vehicles is of significant importance for maintaining the healthy operation of highways and bridges and ensuring the safety of people's lives and property. With the problems of high cost and low efficiency, the traditional vehicle
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Why do conventional MAA-MPEG PCEs not work in alkali-activated slag systems? Cem. Concr. Res. (IF 10.9) Pub Date : 2024-07-11 Yue Zhang, Hsien-Keng Chan, Ziyi Han, Lei Lei
This study investigates the correlation between the molecular architecture of methacrylate ester-based polycarboxylate (MPEG PCE) superplasticizers and their influence on the rheological characteristics of alkali-activated slag (AAS). Two variants of MPEG PCE superplasticizers were synthesized utilizing distinct acid monomers (methacrylic acid versus acrylic acid), while maintaining consistent structural
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Semantic enrichment of BIM with IndoorGML for quadruped robot navigation and automated 3D scanning Autom. Constr. (IF 9.6) Pub Date : 2024-07-11 Ruoming Zhai, Jingui Zou, Vincent J.L. Gan, Xianquan Han, Yushuo Wang, Yinzhi Zhao
Planning scan routes with prior knowledge can improve scan data quality and completeness. This paper presents a BIM-enabled approach to optimize quadruped robot navigation for automated 3D scanning. The BIM data schema is enriched with IndoorGML, integrating building geometry with spatial data to establish an indoor navigation model describing multi-scale spatial topological networks. This navigation
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Multiresolution dynamic mode decomposition approach for wind pressure analysis and reconstruction around buildings Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-07-11 Reda Snaiki, Seyedeh Fatemeh Mirfakhar
Accurate wind pressure analysis on high‐rise buildings is critical for wind load prediction. However, traditional methods struggle with the inherent complexity and multiscale nature of these data. Furthermore, the high cost and practical limitations of deploying extensive sensor networks restrict the data collection capabilities. This study addresses these limitations by introducing a novel framework
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Physics‐informed neural operator solver and super‐resolution for solid mechanics Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-07-11 Chawit Kaewnuratchadasorn, Jiaji Wang, Chul‐Woo Kim
Physics‐Informed Neural Networks (PINNs) have solved numerous mechanics problems by training to minimize the loss functions of governing partial differential equations (PDEs). Despite successful development of PINNs in various systems, computational efficiency and fidelity prediction have remained profound challenges. To fill such gaps, this study proposed a Physics‐Informed Neural Operator Solver
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Specifics of plastic shrinkage in 3D-printed concrete elements Cem. Concr. Res. (IF 10.9) Pub Date : 2024-07-10 Slava Markin, Riaan Combrinck, Viktor Mechtcherine
3D-printed concrete is exposed to rapid pore water evaporation immediately after extrusion, leading to plastic shrinkage and cracking. Plastic shrinkage and related cracking can severely impair the durability, serviceability, aesthetics and structural stability of 3D-printed concrete elements. This article addresses the specific evaporative and deformation behaviours of 3D-printed concrete elements
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Performance improvement of glass-based lightweight aggregates through thermodynamic modelling design and lightweight mortar validation Cement Concrete Comp. (IF 10.8) Pub Date : 2024-07-10 Yujie Huang, Chunpeng Zhang, Jian-Xin Lu, Zuwang Bian, Weiyi Ji, Ziwei Chen, Christopher Cheeseman, Chi Sun Poon
To reduce environmental impact of sintered lightweight aggregates (LWAs), in this study, novel glass-based LWAs were produced from municipal solid wastes at 900 °C. The mix was designed by thermodynamic modelling to optimize the phase composition, liquid phase properties, and microstructure of the LWAs. Results demonstrated that the inclusion of incinerated sewage sludge ash (ISSA) increased the viscosity
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3D printing with stabilized earth: Material development and effect of carbon sequestration on engineering performance Cement Concrete Comp. (IF 10.8) Pub Date : 2024-07-10 Sahana C.M., Prabhath Ranjan Kumar Soda, Ashutosh Dwivedi, Sandeep Kumar, Abhishek Kumar, Aakanksha Pundir, Anjaneya Dixit, Souradeep Gupta
This research examines the feasibility of using excavated soil (clay content of 44 %) as 25 % and 50 % replacement of natural sand in 3D printable formulations. A combination of ordinary Portland cement (OPC) and fly ash (FA) are used as binders for stabilization. The development of engineering properties subject to two curing conditions – normal curing and CO curing (5 % concentration for 5 h) are
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Granular materials for 3D printing of construction components and structures Autom. Constr. (IF 9.6) Pub Date : 2024-07-10 Ofer Asaf, Arnon Bentur, Pavel Larianovsky, Aaron Sprecher
Extensive research on 3D printing with granular materials has predominantly focused on discrete aspects of the process, such as material properties, printing technology, or component types. This paper advances the field by adopting an integrative approach, investigating a range of granular materials, and employing generic design procedures based on rheological concepts. The objective is to establish
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Impact of mineralization in Hevea brasiliensis fibers on the production of extruded fiber-cements with cellulosic micro/nanofibrils (MFC/NFC) and quartzite residues J. Build. Eng. (IF 6.7) Pub Date : 2024-07-10 Felipe Gomes Batista, Dayane Targino de Medeiros, Danillo Wisky Silva, Adriano Reis Prazeres Mascarenhas, Mário Vanoli Scatolino, Ianca Oliveira Borges, Lorran de Sousa Arantes, Maria Alice Martins, Francisco Tarcísio Alves Junior, Gustavo Henrique Denzin Tonoli, José Benedito Guimarães Junior, Lourival Marin Mendes
New processes and applications for waste generated in forestry and mineral activities favor the circular economy and reduce pressure on conventional raw materials, thus promoting the sustainability of activities. This research aimed to apply quartzite powder to replace limestone and fibers and cellulosic micro/nanofibrils (MFC/NFC) from as reinforcement in extruded fiber-cement. To improve fiber/matrix
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Properties of fresh and hardened cement-based materials with waste glass as supplementary cementitious material: A review J. Build. Eng. (IF 6.7) Pub Date : 2024-07-10 V.A. Franco-Luján, S. Ramírez-Arellanes, A. Gomez-Sanchez, A.E. Pérez-Ramos, E.S. Cruz-García, H. Cruz-Martínez
The demand for cement is constantly growing; however, the industry is facing many challenges due to the excessive extraction of raw material, water demand, and CO emissions. To mitigate these challenges, cement can be partially substituted by recycled materials such as waste glass with pozzolanic properties. This substitution allows for the production of Portland cement (PC)-based materials that are
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Behaviors and influences of water confined within the C-S-H interlayer: A quenched solid density functional theory study Cem. Concr. Res. (IF 10.9) Pub Date : 2024-07-09 Peng Zhang, Hegoi Manzano, Ming-Feng Kai, Jian-Guo Dai
Water confined within cement paste significantly influences the material's physical and chemical behaviors. Using quenched solid density functional theory (QSDFT), we investigate the complex behaviors of water confined within C-S-H interlayers. Confined water exists in forms of double layers (0–0.29 nm pores), three layers (0.32–0.59 nm pores), and multiple layers (≥0.65 nm pores). The adsorption isotherms
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Deep learning‐based segmentation model for permeable concrete meso‐structures Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-07-09 De Chen, Yukun Li, Jiaxing Tao, Yuchen Li, Shilong Zhang, Xuehui Shan, Tingting Wang, Zhi Qiao, Rui Zhao, Xiaoqiang Fan, Zhongrong Zhou
The meso‐structure of pervious concrete significantly influences its overall performance. Accurately identifying the meso‐structure of pervious concrete is imperative for optimizing the design of pervious concrete, considering its mechanical properties and functionality. Therefore, to address the difficulty of recognizing the meso‐structures of pervious concrete, a method utilizing deep learning image
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Graphene family (GFMs), carbon nanotubes (CNTs) and carbon black (CB) on smart materials for civil construction: Self-cleaning, self-sensing and self-heating J. Build. Eng. (IF 6.7) Pub Date : 2024-07-09 Isis Nayra Rolemberg Prudente, Hericles Campos dos Santos, Jander Lopes Fonseca, Yslaine Andrade de Almeida, Iara de Fátima Gimenez, Ledjane Silva Barreto
The development of building materials capable of combining structural features with additional functionalities is a modern demand for creating smart and multifunctional structures. This involves integrating properties such as self-cleaning, self-sensing, and self-heating with the conventional functions of building structures, including facades, structural elements, roadways, among others. The arising
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Effect of recycled concrete aggregates on the punching strength of slab-column connections without shear reinforcement J. Build. Eng. (IF 6.7) Pub Date : 2024-07-09 Maurício P. Ferreira, Iana I.R. Damasceno, Manoel J.M. Pereira Filho, Aarão F. Lima Neto, Marcos H. Oliveira, Jayron A. Ribeiro Júnior
This paper presents the results of tests on six reinforced concrete slab-column connections. The slabs were octagonal, centrally supported on square columns, and concentrically loaded at their borders. The tests investigated the effects of replacing natural coarse aggregates with recycled concrete aggregates. The experimental results were also compared to resistance estimates from ACI 318 (2019) and
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Dynamic mechanical properties of one-part ultra-high performance geopolymer concrete J. Build. Eng. (IF 6.7) Pub Date : 2024-07-09 Yuanzheng Lin, Chaobin Yang, Hanyuan Shi, Yingfan Wang, Zhouhong Zong, Haimin Qian, Shenyang Hou, Shaolong Li, Tianle Chen, Jingming Cai
Geopolymer has been recognized as a promising construction material offering performance comparable to traditional cementitious materials while significantly reducing carbon dioxide emissions. Notably, the recent development of “one-part geopolymer”, which transforms the alkaline activator solution into a solid activator powder, has greatly enhanced construction convenience. One-part ultra-high performance
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Exploring impacts of thermal and lighting conditions on office workers’ subjective evaluations, cognitive performance and EEG features in multi-person offices J. Build. Eng. (IF 6.7) Pub Date : 2024-07-09 Rui Sun, Shuangyu Xu, Yunsong Han, Dian Zhuang, Bin Yan, Cheng Sun
Modern office workers spend lots of time in multi-person offices. For human-centered building design and operation, it is essential to investigate the influence of coupled physical environments on occupants' well-being and task performance. In this study, to assess impacts of thermal and lighting environments on brainworkers, experiments were conducted under 64 conditions of different temperature,
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Experimental studies on bond behaviour of steel rebar with different rib patterns in concrete J. Build. Eng. (IF 6.7) Pub Date : 2024-07-09 S. Krishnaveni, Senthil Rajendran
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Hygrothermal stability of ettringite in blended systems with CAC-OPC-CŠ Cem. Concr. Res. (IF 10.9) Pub Date : 2024-07-08 Lamiya Noor, Pauline Rost, Irina Kirchberger, Friedlinde Goetz-Neunhoeffer, Jason H. Ideker
The hygrothermal stability of ettringite in cementitious systems composed of calcium aluminate cement (CAC) blended with ordinary portland cement (OPC) and calcium sulfate (CŠ) has been investigated for five simulated environmental conditions- i) 23 °C-100% RH (Relative Humidity), ii) 23 °C-50% RH, iii) 38 °C-50% RH, iv) 50 °C-50% RH, and v) 60 °C-50% RH. Two types of ternary systems were used, one
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Investigation of the properties of Mg(OH)2 extracted from magnesium-rich brine via the use of an industrial by-product Cement Concrete Comp. (IF 10.8) Pub Date : 2024-07-08 Zhongyuan Du, En-Hua Yang, Cise Unluer
Compared with magnesium oxide (MgO) produced through the dry route, the wet route production can lead to MgO with a high purity and reactivity. During this process, the use of chemical alkalis to precipitate the precursor, magnesium hydroxide (Mg(OH)), is the highest contributor to cost and energy consumption. This study proposes a low-cost and sustainable way to recover Mg(OH) from simulated reject
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Mechanical property evaluation of 3D multi-phase cement paste microstructures reconstructed using generative adversarial networks Cement Concrete Comp. (IF 10.8) Pub Date : 2024-07-08 Sung-Wook Hong, Se-Yun Kim, Kyoungsoo Park, Kenjiro Terada, Hoonhee Lee, Tong-Seok Han
This study proposes an artificial intelligence based framework for reconstructing the 3D multi-phase cement paste microstructure to evaluate its mechanical properties using simulation. The reconstruction of cement paste microstructures is performed using modified generative adversarial networks (GANs) based on microstructural images from micro-CT. For computational efficiency, 2D microstructures are
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Enhancing concrete defect segmentation using multimodal data and Siamese Neural Networks Autom. Constr. (IF 9.6) Pub Date : 2024-07-08 Sandra Pozzer, Gabriel Ramos, Ehsan Rezazadeh Azar, Ahmad Osman, Ahmed El Refai, Fernando López, Clemente Ibarra-Castanedo, Xavier Maldague
This paper proposes an approach for the reliable identification of subsurface damages in thermal images of concrete structures. The work explores how to mitigate false positives in subsurface delamination segmentation using thermal and visible images. The methodology employs a few-shot learning method, specifically the Siamese Neural Network (SNN), to assess the similarity between corresponding multimodal
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Optimizing green splits in high‐dimensional traffic signal control with trust region Bayesian optimization Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-07-08 Yunhai Gong, Shaopeng Zhong, Shengchuan Zhao, Feng Xiao, Wenwen Wang, Yu Jiang
Centralized traffic signal control has long been a challenging, high‐dimensional optimization problem. This study establishes a simulation‐based optimization framework and develops a novel optimization algorithm based on trust region Bayesian optimization (TuRBO), which can efficiently obtain an approximate optimal solution to the high‐dimensional traffic signal control problem. Local Gaussian process
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Corrigendum to “Deep spatial‐temporal embedding for vehicle trajectory validation and refinement” Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-07-08
Zhang, T. T., Jin, P. J., Piccoli, B., & Sartipi, M. (2024). Deep spatial-temporal embedding for vehicle trajectory validation and refinement. Computer-Aided Civil and Infrastructure Engineering, 39, 1597−1615. https://doi.org/10.1111/mice.13160 In the “Methodology” section, Equation (2) “” was incorrect. The correct equation should have been written as “” In the “Methodology” section, Equation (3)
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Indoor PM2.5 and building energy consumption in nine typical residential neighborhoods in Nanjing under different ventilation strategies caused by traffic-related PM2.5 dispersion J. Build. Eng. (IF 6.7) Pub Date : 2024-07-08 Hanning Wang, Xin Guo, Junlu Yang, Zhi Gao, Mingjie Zhang, Fusuo Xu
Traffic-related PM seriously endangers human health and affects the energy consumption of building ventilation systems. This study investigates the impact of different ventilation strategies caused by traffic-related PM dispersion on indoor PM concentration and building energy consumption of nine typical residential neighborhoods in Nanjing using EnergyPlus software. Results of a third-floor apartment
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Crossflow microsand filtration in cooling tower systems to control fouling in heat exchanger devices J. Build. Eng. (IF 6.7) Pub Date : 2024-07-08 Vaishali Ashok, Faezeh Absalan, Alain Silverwood, Etienne Robert, Dominique Claveau-Mallet, Emilie Bédard
In the context of global warming, there is a growing need for high-performance heat, ventilation and air conditioning systems. Fouling is a challenge, affecting heat exchanger operational and energetic performance. Side stream filtration can be used to improve water quality by reducing particle concentration in the system. The aim of this study was to assess a crossflow microsand filtration unit's
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A contextual approach to estimate household activities in instrumented dwellings J. Build. Eng. (IF 6.7) Pub Date : 2024-07-08 Ly Huynh Phan, Thomas Recht, Jérôme Malvestio, Hugo Viot, Stéphane Ploix, Laurent Mora
Occupants and their activities are important in computer-aided systems such as energy management or energy simulation in residential buildings. Numerous studies have extensively examined detailed household activities at the population level using time-use surveys. Despite the considerable influence of contexts on occupants' activities, a limited number of studies focus on individual households due
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Retrofitting HVAC systems for enhanced energy performance and resilience in university data center room J. Build. Eng. (IF 6.7) Pub Date : 2024-07-08 Nitesh Singh, Indra Permana, Alya Penta Agharid, Fu-Jen Wang
Data centers have been extensively implemented globally to satisfy the increasing need for IT services. Small data centers with insufficient cooling require much power to keep IT equipment running reliably. As a result, retrofitting has become an efficient method to increase energy efficiency and save operating costs. This study examines the impact of retrofitting on energy efficiency in a data center
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Use of Semi-Indirect Evaporative Cooling in HVAC systems: experimental study J. Build. Eng. (IF 6.7) Pub Date : 2024-07-08 Luca Socci, Javier M. Rey-Hernandez, Andrea Rocchetti, Fernando Dominguez-Muñoz, Alberto Rey-Hernandez, Francisco J. Rey-Martínez
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Elucidating the role of recycled concrete aggregate in ductile engineered geopolymer composites: Effects of recycled concrete aggregate content and size J. Build. Eng. (IF 6.7) Pub Date : 2024-07-08 Changqing Wang, Zhiyu Zhang, Xin Liu, Youchao Zhang, Zhiming Ma
Utilizing recycled fine aggregate (RFA) as silica sand replacement for ductile engineered geopolymer composites (EGC) provides a high value-added approach to recycling concrete waste and reduces the needs for high-cost silica sand. RFA contains abundant active alkaline substances which can promote the secondary geopolymerization of EGC. Substituting RFA for silica sand can improve EGC micro-characteristics
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Performance of fly ash/GGBFS based geopolymer concrete with recycled fine and coarse aggregates at hot and ambient curing J. Build. Eng. (IF 6.7) Pub Date : 2024-07-08 Shahzadi Irum, Faisal Shabbir
The incorporation of recycled aggregates in geopolymer concrete (GPC) exhibits higher environmental sustainability due to its ability to utilize industrial by-products and construction and demolition (C&D) waste. This study investigates the combined effect of fine and coarse recycled aggregates on the behavior of GPC. In this research, fly ash (FA) and ground granulated blast furnace slag (GGBFS) were
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Unraveling polycarboxylate superplasticizer (PCE) compatibility in muscovite-blended cement paste through aggregation mechanisms J. Build. Eng. (IF 6.7) Pub Date : 2024-07-08 Huihai Chi, Chong Wang, Yi Tian, Zonglin Xie, Qiang Yuan, Zheng Chen, Xiaohong Zhu
Muscovite is a common harmful mineral in manufactured sand, and has always led to the poor compatibility of superplasticizers in fresh concrete. Currently, the failure mechanism is usually explained by competitive adsorption and interlayer adsorption. In addition to the adsorption point of view, as a kind of surfactant, the self-aggregation conformation of superplasticizers in solutions also requires
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Automatic generation of architecture drawings from point clouds Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-07-07 Fengyu Zhang, Qingzhao Kong, Cheng Yuan, Peizhen Li
Traditional methods for producing architectural drawings require extensive manual labor. This paper proposes an automated method for generating a comprehensive set of three‐view drawings, including the standardized labeling of doors and annotation of dimensions and areas. The output drawings are software‐readable and editable, and the method is applicable to intricate structures with non‐orthogonal
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Ego‐planning‐guided multi‐graph convolutional network for heterogeneous agent trajectory prediction Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-07-07 Zihao Sheng, Zilin Huang, Sikai Chen
Accurate prediction of the future trajectories of traffic agents is a critical aspect of autonomous vehicle navigation. However, most existing approaches focus on predicting trajectories from a static roadside perspective, ignoring the influence of autonomous vehicles’ future plans on neighboring traffic agents. To address this challenge, this paper introduces EPG‐MGCN, an ego‐planning‐guided multi‐graph
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Thermodynamic performance assessment of a solar-driven desiccant evaporative air cooling system (SDEAC) for outdoor environments- a dynamic study J. Build. Eng. (IF 6.7) Pub Date : 2024-07-07 Liang Chun, Zicheng Liao, Yao Xiao, Guoqiang Wang
In this work, a novel dynamic model of a solar-driven desiccant evaporative air cooling system for outdoor environments is proposed, namely the SDEAC system. The effects of operating and designing parameters on the performance of the SDEAC system are analyzed. The results indicate that the sensible cooling capacity, the latent cooling capacity, and the COP decrease monotonically as the rotational speed
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Data-driven automation of HVAC systems: An experimental study in a university study room J. Build. Eng. (IF 6.7) Pub Date : 2024-07-07 Serena Summa, Luca Tarabelli, Costanzo Di Perna, Francesca Stazi
This study proposes a framework for controlling HVAC systems for university study rooms that includes a data-driven model capable of identifying the probability of user interaction with air conditioning and ventilation systems, depending on the thermal sensation vote (TSV), perceived air quality (PAQ) and microclimate parameters (air and operative temperature, air velocity, relative humidity and CO)
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Study on properties of re-dispersible latex powder and polypropylene fiber-reinforced lightweight foam concrete J. Build. Eng. (IF 6.7) Pub Date : 2024-07-07 Xinxin Shi, Baokuan Ning, Fangxi Na, Weifeng Zhao, Chunzheng Zhang
Foam concrete has a broad application prospect due to its lightweight, convenient construction and other characteristics. However, the low strength and tensile toughness limit the application range of foam concrete. In this study, re-dispersible latex powder and polypropylene fiber were used to improve the mechanical properties of foam concrete. The effects of re-dispersible latex powder and polypropylene
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MnO2 with/without Ni doped films on carbon fibers by for enhancing compression and thermoelectric performances of cement J. Build. Eng. (IF 6.7) Pub Date : 2024-07-07 Yu-fan Song, Xin-bo Xiong, Jun Ma, Jianfeng Huang
A microwave anodic deposition process was developed to prepare MnO/Ni-doped MnO films on carbon fibersfor the fillers of cement composites (CFRC) to enhance both thermoelectric and compression performances simultaneously. The resulting CFRCs were designated as M-MnO/CFRC and M-Ni-MnO/CFRC, respectively. The results showed that the M-Ni-MnO/CFRC exhibited the best thermoelectric performance at 313K
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Effect of pre-hydrated CAC suspensions on the hydration behavior of CAC pastes Cement Concrete Comp. (IF 10.8) Pub Date : 2024-07-06 Jinyan Zeng, Zhongzhuang Zhang, Yuandong Mu, Chuntai Liu, Guotian Ye
The relatively low hydration rate of calcium aluminate cement (CAC) at 15–35 °C leads to retarded setting time and reduced production efficiency of CAC-bonded castables. To accelerate the hydration rate of CAC within this temperature range, the present work proposes the fabrication of nano-hydrates acting as seeds by pre-hydration of CAC in suspensions. CAC powders are dispersed in water with water-to-solid
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Genealogy of construction robotics Autom. Constr. (IF 9.6) Pub Date : 2024-07-06 Tingpeng Wang, Chao Mao, Bing Sun, Zhiqiang Li
Construction robots, as a collection of multidisciplinary technologies, have been extensively studied and implemented by scholars and engineers to boost construction efficiency and minimize the reliance on manual labor. However, the practical application of construction robots has been limited due to a lack of systematic research. The paper explores the future research direction of construction robots
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Experimental study on freeze-thaw resistance of mortar: An attempt to modify hydrophobic materials with hydrophobic nano-silica J. Build. Eng. (IF 6.7) Pub Date : 2024-07-06 Yuyang Pang, Hailiang Wang, Lin Yang, Qun Tang, Haofei Li, Jinliang Zhang
In this study, a novel superhydrophobic additive (MPSANS) was developed to enhance the freeze-thaw (F-T) resistance of mortar by modifying mica powder with stearic acid and hydrophobic nano-silica. Firstly, the effects of hydrophobic nano-silica content on the hydrophobic properties of MPSANS modified mortar were studied, and MPSA10NS5 exhibited the best hydrophobic property, the water absorption and
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Sulfate resistance of UHPC during dry-wet cycling and energy dissipation under compression J. Build. Eng. (IF 6.7) Pub Date : 2024-07-06 Shun Yang, Yuan Qin, Jialiang Kou, Minghan Duan, Xianwei Zhang, Heng Zhou, Xiangnan Cheng
To study the sulfate resistance of ultra-high performance concrete (UHPC) in saline soil area of western China, four kinds of sulfate solution concentrations (0 %, 5 %, 10 %, 15 %) and 18 dry-wet cycle tests for 540 days were carried out on UHPC specimens. The effects of sulfate dry-wet cycles on the evolution of UHPC strength and energy were studied, the characteristic stress points during uniaxial
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Improved mechanical properties and fiber dispersion of limestone calcined clay cement (LC³) mortars by adjusting the mixing methods J. Build. Eng. (IF 6.7) Pub Date : 2024-07-06 Yimiao Huang, Jianhao Zhang, Wenyu Zhang, Hui Li, Zhu Pan, Guowei Ma
An emerging cement, limestone calcined clay cement (LC³), reduces CO emissions by using less clinker in manufacture, promoting sustainability. Compared with OPC, LC³ binders (with the same water-to-binder ratio) show reduced flowability, leading to poor fibre dispersion in the matrix. This paper attempts to improve the flowability by adding different amounts of superplasticizer and using an innovative
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Experimental study on mechanical and microstructure properties of cemented tailings-waste rock backfill with continuous gradation J. Build. Eng. (IF 6.7) Pub Date : 2024-07-06 Bingwen Wang, Mingchao Kang, Chenyi Liu, Lei Yang, Qianlong Li, Senlin Zhou
To reduce the risk of engineering disasters and improve the comprehensive utilization rate of solid waste from mines, cementitious tailings-wasted rock filling as a green and safe technology has been widely used in mines. Mechanical properties and microstructural characterization of cementitious tailings-wasted rock backfill (CTWRB) prepared with gradation coefficients () of 0.3–0.7 and waste rock
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Effect of multiscale fibers and cenospheres on the uniaxial tensile behavior of ultra-high performance concrete subjected to high temperatures J. Build. Eng. (IF 6.7) Pub Date : 2024-07-06 Yibo Chen, Yao Zhang, Weigang Zhao, Zhiguo Yan
Exposure to high temperatures causes a significant deterioration in the mechanical properties of ultra-high-performance concrete. Considering the characteristics of multiscale defects, it is expected to improve the residual tensile performance of ultra-high-performance concrete by incorporating multiscale fibers (including polyethylene fibers, steel fibers, calcium sulfate whiskers, carbon fibers,
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Automated identification and long-term tracking of modal parameters for a super high-rise building J. Build. Eng. (IF 6.7) Pub Date : 2024-07-06 Shenghui Fu, Jie Wu, Qilin Zhang, Bo Xie
Structural modal parameter identification plays an important role in wind resistance design, damage identification, and health monitoring. At present, the modal identification process still suffers from low automation and low computational efficiency, which are not conducive to the continuous processing of monitoring data. To address this, an automated modal parameter identification approach is proposed
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Chemo-mechanical characterization of a low-pH model cement paste in magnesium bearing environment Cem. Concr. Res. (IF 10.9) Pub Date : 2024-07-05 Charlotte Dewitte, Laurie Lacarrière, Mejdi Neji, Alexandra Bertron, Alexandre Dauzères
In contact with natural waters, concrete can be exposed to the action of magnesium. Mg-attack on the cement paste leads to dissolution of cementitious phases and formation of brucite, hydrotalcite and/or magnesium silicate hydrates (M-S-H). The knowledge of the properties of the latter is limited. In binders with supplementary cementitious materials, M-S-H formation is favoured over that of brucite
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Retardation mechanism of zinc on Portland cement and alite hydration Cem. Concr. Res. (IF 10.9) Pub Date : 2024-07-05 Linglin Xu, Zixuan Sun, Yuting Chen, Ken Yang, Xiaojie Yang, Kai Wu, Barbara Lothenbach
The significant inhabitation of Portland cement hydration by zinc restricts the utilization of zinc-bearing solid wastes in cementitious materials. The influence of zinc, in the form of (Zn(NO)·6HO and ZnCl, on the hydration of Portland cement and tricalcium silicate (CS) was investigated both experimentally and by thermodynamic modelling. The reaction of CS in zinc-rich solutions is strongly retarded
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Development of strain-hardening cementitious composites (SHCC) as bonding materials to enhance interlayer and flexural performance of 3D printed concrete Cement Concrete Comp. (IF 10.8) Pub Date : 2024-07-05 Fei Teng, Junhong Ye, Jie Yu, Heng Li, Yiwei Weng, Viktor Mechtcherine
3D concrete printing (3DCP) has limitations in weak interlayer bond strength and reinforcement integration. To tackle these challenges, this study aims to develop and deposit strain-hardening cementitious composites (SHCC) as bonding materials between layers for simultaneous enhancement of interlayer bond strength and flexural ductility of 3D-printed concrete. The impact of rheological properties of
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Hardening properties and microstructure of 3D printed engineered cementitious composites based on limestone calcined clay cement Cement Concrete Comp. (IF 10.8) Pub Date : 2024-07-05 Yuting Wang, Meng Chen, Tong Zhang, Mingzhong Zhang
Comparison of three-dimensional (3D) printing and cast methods on the mechanical properties of cementitious materials is the basis for intelligent construction development. To achieve this, a series of experiments including the uniaxial tensile, compressive, flexural and interlayer bonding tests of mould-cast and 3D printed (3DP) specimens are conducted to investigate the effects of different preparation