随着建筑行业对环境可持续性的日益重视,大型建筑基坑支撑结构设计中的碳排放问题已成为一个不容忽视的关键问题.传统设计虽然强调成本效益,但往往缺乏对环境性能的考虑.提出了一种基于建筑信息模型(building information modeling, BIM...随着建筑行业对环境可持续性的日益重视,大型建筑基坑支撑结构设计中的碳排放问题已成为一个不容忽视的关键问题.传统设计虽然强调成本效益,但往往缺乏对环境性能的考虑.提出了一种基于建筑信息模型(building information modeling, BIM)的增强约束方法,并将其集成至NSGA-Ⅱ框架,以实现基坑支护结构设计的多目标优化.首先,构建了基坑支护体系的碳排放计算准则,明确了计算的边界条件(涵盖建材的生产、运输、施工、拆除及回收等生命周期阶段);其次,在此基础上提出了一种增强约束方法,将设计规范转化为定量约束条件,并与NSGA-Ⅱ算法相结合,通过BIM平台提取结构信息,提升优化过程的精确性和可操作性;最后,针对2个典型基坑支护案例进行分析,以验证该方法的有效性和适用性.通过对2个基坑支护案例的研究分析可知,与传统设计相比该算法在成本和碳排放方面有明显改善,其设计在成本优化及碳性能优化设计的效率方面分别提高了40.9%和30.1%、25.3%和20.9%,为基坑支护结构设计提供了更加科学有效的优化方法.展开更多
Finding an optimal isolator arrangement for asymmetric structures using traditional conceptual design methods that can significantly minimize torsional response while ensuring efficient horizontal seismic isolation is...Finding an optimal isolator arrangement for asymmetric structures using traditional conceptual design methods that can significantly minimize torsional response while ensuring efficient horizontal seismic isolation is cumbersome and inefficient.Thus,this work develops a multi-objective optimization method to enhance the torsional resistance of asymmetric base-isolated structures.The primary objective is to simultaneously minimize the interstory rotation of the superstructure,the rotation of the isolation layer,and the interstory displacement of the superstructure without exceeding the isolator displacement limits.A fast non-dominated sorting genetic algorithm(NSGA-Ⅱ)is employed to satisfy this optimization objective.Subsequently,the isolator arrangement,encompassing both positions and categories,is optimized according to this multi-objective optimization method.Additionally,an optimization design platform is developed to streamline the design operation.This platform integrates the input of optimization parameters,the output of optimization results,the finite element analysis,and the multi-objective optimization method proposed herein.Finally,the application of this multi-objective optimization method and its associated platform are demonstrated on two asymmetric base-isolated structures of varying heights and plan configurations.The results indicate that the optimal isolator arrangement derived from the optimization method can further improve the control over the lateral and torsional responses of asymmetric base-isolated structures compared to conventional conceptual design methods.Notably,the interstory rotation of the optimal base-isolated structure is significantly reduced,constituting only approximately 33.7%of that observed in the original base-isolated structure.The proposed platform facilitates the automatic generation of the optimal design scheme for the isolators of asymmetric base-isolated structures,offering valuable insights and guidance for the burgeoning field of intelligent civil engineering design.展开更多
In order to improve the efficiency of traffic signal control for an over-saturated intersection group, a nondominated sorting genetic algorithm Ⅱ（NSGA-Ⅱ） based traffic signal control optimization algorithm is prop...In order to improve the efficiency of traffic signal control for an over-saturated intersection group, a nondominated sorting genetic algorithm Ⅱ（NSGA-Ⅱ） based traffic signal control optimization algorithm is proposed. The throughput maximum and average queue ratio minimum for the critical route of the intersection group are selected as the optimization objectives of the traffic signal control for the over-saturated condition. The consequences of the efficiency between traffic signal timing plans generated by the proposed algorithm and a commonly utilized signal timing optimization software Synchro are compared in a VISSIM signal control application programming interfaces （SCAPI） simulation environment by using real filed observed traffic data. The simulation results indicate that the signal timing plan generated by the proposed algorithm is more efficient in managing oversaturated flows at intersection groups, and, thus, it has the capability of optimizing signal timing under the over-saturated conditions.展开更多
文摘随着建筑行业对环境可持续性的日益重视,大型建筑基坑支撑结构设计中的碳排放问题已成为一个不容忽视的关键问题.传统设计虽然强调成本效益,但往往缺乏对环境性能的考虑.提出了一种基于建筑信息模型(building information modeling, BIM)的增强约束方法,并将其集成至NSGA-Ⅱ框架,以实现基坑支护结构设计的多目标优化.首先,构建了基坑支护体系的碳排放计算准则,明确了计算的边界条件(涵盖建材的生产、运输、施工、拆除及回收等生命周期阶段);其次,在此基础上提出了一种增强约束方法,将设计规范转化为定量约束条件,并与NSGA-Ⅱ算法相结合,通过BIM平台提取结构信息,提升优化过程的精确性和可操作性;最后,针对2个典型基坑支护案例进行分析,以验证该方法的有效性和适用性.通过对2个基坑支护案例的研究分析可知,与传统设计相比该算法在成本和碳排放方面有明显改善,其设计在成本优化及碳性能优化设计的效率方面分别提高了40.9%和30.1%、25.3%和20.9%,为基坑支护结构设计提供了更加科学有效的优化方法.
基金National Natural Science Foundation of China under Grant No.52278490。
文摘Finding an optimal isolator arrangement for asymmetric structures using traditional conceptual design methods that can significantly minimize torsional response while ensuring efficient horizontal seismic isolation is cumbersome and inefficient.Thus,this work develops a multi-objective optimization method to enhance the torsional resistance of asymmetric base-isolated structures.The primary objective is to simultaneously minimize the interstory rotation of the superstructure,the rotation of the isolation layer,and the interstory displacement of the superstructure without exceeding the isolator displacement limits.A fast non-dominated sorting genetic algorithm(NSGA-Ⅱ)is employed to satisfy this optimization objective.Subsequently,the isolator arrangement,encompassing both positions and categories,is optimized according to this multi-objective optimization method.Additionally,an optimization design platform is developed to streamline the design operation.This platform integrates the input of optimization parameters,the output of optimization results,the finite element analysis,and the multi-objective optimization method proposed herein.Finally,the application of this multi-objective optimization method and its associated platform are demonstrated on two asymmetric base-isolated structures of varying heights and plan configurations.The results indicate that the optimal isolator arrangement derived from the optimization method can further improve the control over the lateral and torsional responses of asymmetric base-isolated structures compared to conventional conceptual design methods.Notably,the interstory rotation of the optimal base-isolated structure is significantly reduced,constituting only approximately 33.7%of that observed in the original base-isolated structure.The proposed platform facilitates the automatic generation of the optimal design scheme for the isolators of asymmetric base-isolated structures,offering valuable insights and guidance for the burgeoning field of intelligent civil engineering design.
基金The National Natural Science Foundation of China(No.51208054)
文摘In order to improve the efficiency of traffic signal control for an over-saturated intersection group, a nondominated sorting genetic algorithm Ⅱ（NSGA-Ⅱ） based traffic signal control optimization algorithm is proposed. The throughput maximum and average queue ratio minimum for the critical route of the intersection group are selected as the optimization objectives of the traffic signal control for the over-saturated condition. The consequences of the efficiency between traffic signal timing plans generated by the proposed algorithm and a commonly utilized signal timing optimization software Synchro are compared in a VISSIM signal control application programming interfaces （SCAPI） simulation environment by using real filed observed traffic data. The simulation results indicate that the signal timing plan generated by the proposed algorithm is more efficient in managing oversaturated flows at intersection groups, and, thus, it has the capability of optimizing signal timing under the over-saturated conditions.
