Dynamics of snow avalanches or landslides can be described by rapid granular flow. Experimental investigations of granular flow at laboratory scale are often required to analyze flow behaviour and to develop adequate mathematical and numerical models. Most investigations use image-based analysis, and additional sensors such as pressure gauges are not always possible. Testing various scenarios and parameter variations such as different obstacle shapes and positions as well as basal topography and friction usually requires either the construction of a new laboratory setups for each test or a cumbersome reconstruction. In this work, a highly flexible and modular laboratory setup is presented based on LEGO bricks. The flexibility of the model is demonstrated, and possible extensions for future laboratory tests are outlined. The setup is able to reproduce published laboratory experiments addressing current scientific research topics, such as overflow of a rigid reflector, flow on a bumpy surface and against a rigid wall using standard image-based analysis. This makes the setup applicable for quick scenario testing, e.g. for hypothesis testing or for low-cost testing prior to large-scale experiments, and it can contribute to the validation of external results and to benchmarks of numerical models. Small-scale laboratory setups are also very useful for demonstration purposes such as education and public outreach, both crucial in the context of natural hazards. The presented setup enables variation of parameters such as of slope length, channel width, height and shape, inclination, bed friction, obstacle position and shape, as well as density, composition, amount and grain size of flowing mass. Observable quantities are flow type, flow height, flow path and flow velocity, as well as runout distance, size and shape of the deposited material. Additional sensors allow further quantitative assessments, such as local pressure values.

雪崩或滑坡的动力学可以通过快速的颗粒流来描述。通常需要对实验室规模的颗粒流动进行实验研究，以分析流动行为并开发适当的数学和数值模型。大多数研究使用基于图像的分析，而且并非总是可以使用其他传感器，例如压力计。测试各种场景和参数变化（例如不同的障碍物形状和位置以及基础地形和摩擦）通常需要为每个测试构建新的实验室设置或繁琐的重建。在这项工作中，提出了一种基于乐高积木的高度灵活的模块化实验室设置。演示了模型的灵活性，并概述了将来实验室测试的可能扩展。该设置能够使用基于图像的标准分析来再现针对当前科学研究主题的已发布实验室实验，例如刚性反射镜的溢流，凹凸不平的表面上以及相对于刚性壁的流动。这使得该设置适用于快速场景测试，例如用于假设测试或大规模实验之前的低成本测试，并且可以有助于外部结果的验证和数值模型的基准。小规模的实验室设施对于诸如教育和公众宣传之类的示范目的也非常有用，这在自然灾害的背景下都是至关重要的。所提供的设置可以改变参数，例如坡度，通道宽度，高度和形状，倾斜度，床层摩擦力，障碍物的位置和形状以及密度，组成，量和流动质量的晶粒尺寸。可观察到的量是流的类型，流的高度，流的路径和流的速度，以及跳动的距离，沉积材料的大小和形状。附加传感器可进行进一步的定量评估，例如局部压力值。