装配式建筑施工安全投入优化模型的构建  被引量:2

Optimization Model Construction for Safety Investment of Prefabricated Building Construction

在线阅读下载全文

作  者:常春光[1] 赵腾 CHANG Chunguang;ZHAO Teng(School of Management,Shenyang Jianzhu University,Shenyang 110168,China)

机构地区:[1]沈阳建筑大学管理学院,辽宁沈阳110168

出  处:《沈阳建筑大学学报(社会科学版)》2021年第2期135-142,共8页Journal of Shenyang Jianzhu University:Social Science

基  金:国家自然科学基金项目(51678375);辽宁省自然科学基金指导计划项目(2019-ZD-0683);辽宁省高等学校基本科研项目(LJZ2017009);辽宁省高等学校创新团队支持计划项目(LT2017002)。

摘  要:为有效降低装配式建筑施工安全事故发生概率,优化安全投入的合理分配,以装配式建筑施工安全为研究对象,建立事故树,并结合Cobb-Douglas函数运用非线性规划方法构建安全投入优化模型。选取实例进行分析,结果表明:日常安全管理投入、安全教育投入及建筑施工卫生措施投入对于装配式建筑施工安全有明显保障作用,而企业目前在这3个方面的投入远远达不到项目实际需求,管理者应合理优化分配以达到控制事故发生概率的最佳效果。In order to effectively reduce the probability of safety accidents in prefabricated building construction, optimize the reasonable allocation of safety investment, construction safety of prefabricated buildings is used as research object.By analyzing the key influencing factors, the prefabricated construction safety accident tree(FTA)is established, and the non-linear programming method is used in combination with the Cobb-Douglas function.Taking the minimum value of the top event occurrence probability as the objective function, an optimal allocation model of safety input is established.Sample projects are chosen for case analysis.The research results show that daily safety management investment, safety education investment, and building construction sanitation measures investment can effectively reduce the probability of accidents.At present, construction enterprises generally have less investment in this area, which is far from reaching the actual needs of the project so the enterprise should reasonably optimize and allocate to achieve the best effect of controlling the probability of accidents.

关 键 词:装配式建筑 安全投入 ALARP原则 COBB-DOUGLAS函数 非线性规划 

分 类 号:TU714[建筑科学—建筑技术科学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象