Adaptive reuse of buildings can be an attractive alternative to new construction in terms of sustainability and a circular economy. Achieving net benefits with adaptive reuse partly relies on efficiently planning building disassembly. The aim of this paper is to describe a new efficient single-target selective disassembly sequence planning method developed for adaptive reuse of buildings. Finding a global optimum disassembly planning solution for buildings can be time consuming and physically impractical due to the high number of possible solutions. The method developed seeks to minimize environmental impact and removal costs using rule-based recursive analyses for planning recovery of target components from multi-instance building subsystems based upon physical, environmental and economic constraints. Rule-based recursive methods have been demonstrated to be an efficient alternative to find near-optimal disassembly sequences by eliminating uncommon or unrealistic solutions. Validation is achieved through functional demonstration with case studies, where high quality, practical, realistic, and physically feasible solutions for single-target selective disassembly of buildings are found by using the new method. For adaptive reuse of buildings, the new method can be used to reduce the costs of disassembly and demolition and improve the planning process.

就可持续性和循环经济而言，建筑物的自适应再利用可以成为新建筑的有吸引力的替代方案。通过自适应重用实现净收益在一定程度上取决于有效规划建筑物的拆卸。本文的目的是描述一种为建筑物的自适应重用而开发的新的有效的单目标选择性拆卸序列计划方法。由于存在大量可能的解决方案，因此为建筑物寻找全球最佳的拆卸计划解决方案可能既耗时又在物理上不切实际。开发的方法旨在使用基于规则的递归分析，以基于物理，环境和经济限制，从多实例建筑子系统中计划回收目标组件，从而最大程度地减少环境影响和清除成本。基于规则的递归方法已被证明是通过消除不常见或不切实际的解决方案来找到接近最优的拆卸序列的有效替代方法。通过案例研究的功能演示来进行验证，在此案例中，使用新方法可以找到针对建筑物的单目标选择性拆卸的高质量，实用，现实和物理上可行的解决方案。对于建筑物的适应性再利用，新方法可用于减少拆卸和拆除的成本并改善规划过程。通过这种新方法，找到了针对建筑物的单目标选择性拆卸的物理可行方案。对于建筑物的适应性再利用，新方法可用于减少拆卸和拆除的成本并改善规划过程。通过这种新方法，找到了针对建筑物的单目标选择性拆卸的物理可行方案。对于建筑物的适应性再利用，新方法可用于减少拆卸和拆除的成本并改善规划过程。