西宁市建筑垃圾再生处理设施布局的动态优化

吴昆仑; 龚志起; 吴佳

doi:10.13205/j.hjgc.202306026

西宁市建筑垃圾再生处理设施布局的动态优化

doi: 10.13205/j.hjgc.202306026

吴昆仑¹,
龚志起^1,2, ,,
吴佳¹

1. 青海大学土木工程学院, 西宁 810016;
2. 青海省建筑节能材料与工程安全重点实验室, 西宁 810016

基金项目:

国家自然科学基金项目（71463047）；青海省高原绿色建筑与生态社区重点实验室项目（KLKF-2021-005）

详细信息

作者简介:
吴昆仑(1996-),男,硕士研究生,主要研究方向为建筑垃圾资源化利用。40747270@qq.com

通讯作者:
龚志起(1975-),男,教授,主要研究方向为土木工程建造与管理。gzhq2007@foxmail.com

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- 文章访问数: 110
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- 被引次数: 0
出版历程
- 收稿日期: 2022-09-13
- 网络出版日期: 2023-09-02

DYNAMIC OPTIMIZATION OF LAYOUT OF CONSTRUCTION WASTE RECYCLING FACILITIES: A CASE STUDY OF XINING, CHINA

WU Kunlun¹,
GONG Zhiqi^{1,2
, ,},
WU Jia¹

1. School of Civil Engineering, Qinghai University, Xining 810016, China;
2. Key Laboratory of Energy-saving Building Materials and Engineering Safety of Qinghai, Xining 810016, China

摘要

摘要: 建筑垃圾再生处理设施布局是构建建筑垃圾资源化回收网络的关键。为实现设施选址布局的多周期考量，提出了一种分时演变的规划方法，综合设施处理能力、社会负效应及不同时期建筑垃圾产量特征，建立了区域经济成本与环境负面影响最小化的多目标规划模型，采用遗传算法进行智能求解，得到设施选址布局动态优化方案。以西宁市主城区为例，建立t₁、t₂、t₃（2020，2025，2030年）3个时期建筑垃圾再生处理设施网络，验证了模型的有效性。结果表明：t₁时期B2、B3处和t₂、t₃时期B2、B3、B5处候选点为最优选址位置，其适应度值分别收敛于3.7925×10⁸、4.392×10⁸、5.0205×10⁸。该模型能有效平衡设施选址布局中经济与环境2方面的矛盾，实现设施选址动态优化，可为政府等相关决策者构建区域建筑垃圾再生处理设施网络提供一定的参考。
- 建筑垃圾 /
- 设施布局 /
- 动态优化 /
- 遗传算法
Abstract: The layout of construction waste recycling facilities is the key to the construction of waste recycling network. In order to realize the multi-cycle consideration of facility location layout, a time-sharing evolution planning method was proposed, which integrated the facility processing capacity, social negative effect and construction waste production characteristics in different periods, and established a multi-objective programming model to minimize the regional economic cost and environmental negative impact. The genetic algorithm was used to solve the problem intelligently, and the dynamic optimization scheme of the facility location layout was obtained. Taking the main urban area of Xining as an example, a three-period construction waste recycling facility network was established to verify the effectiveness of the model. The results showed that the candidate points at B2 and B3 in stage t₁ (2020), and B2, B3 and B5 in stage t₂ (2025) and t₃ (2030) were the optimal location, and the fitness values converged to 3.7925×10⁸, 4.392×10⁸ and 5.0205×10⁸, respectively. This model can effectively balance the contradiction between economy and environment in facility location layout, and realize the dynamic optimization of facility location. The research provides certain reference for government and other relevant decision-makers to construct regional construction waste recycling facility networks.
- construction waste /
- facility layout /
- dynamic optimization /
- genetic algorithm

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