住宅工程结构设计中常见问题探讨

建筑质量与人民生命财产息息相关,建筑质量出现问题将直接危及到人民的生命财产安全。合理地进行住宅结构设计是提高建筑质量的关键,必须将工程质量放在第一位,严把质量关。随着我国社会经济的不断发展,我国的建筑工程数量也越来越多,如何对住宅结构设计方案进行优化,提高住宅结构设计的水准,将是建筑业面临的重要课题。对于住宅结构设计中经常出现的问题,如砖砌体结构问题、楼层刚度问题、地基与基础设计问题等,应当在满足相关规范和标准的基础上,利用有效的预防措施,妥善解决这些问题,避免这些问题对建筑质量造成影响。本文对常见的住宅结构设计问题进行科学的分析与预防,避免出现砖砌体结构、楼层刚度和屋面梁与配筋等方面的问题,为建筑工程的施工打下良好的基础。为此,作者着重分析了当前住宅结构设计方面的常见问题,并提出了相应的预防措施,希望能够起到参考和借鉴作用,全面提高住宅结构设计的质量,打造优质的建筑工程。

住宅工程结构设计中常见问题探讨

随着城市化的发展,城市中高层建筑数量不断增多,而且,外来人口的增加也提高了城市对房屋等建筑物的需求。不仅如此,经济水平的不断提高也促进了乡镇对房屋建筑的需求。在这个大背景下,建筑市场获得了巨大的发展机遇,无论是建筑市场的体制,还是建筑企业的数量和质量都得到了完善和提高。但是,由于我国建筑市场起步较晚,仍然存在诸多弊端和缺陷,尤其是建筑工程设计工作中存在的问题。鉴于此,笔者将在下文中对建筑工程设计工作进行探究,分析其现存的问题,并针对设计工作中的问题提出具体而可行的建议措施。

对住宅工程结构设计中常见问题探讨

伴随着我国社会经济的快速进步,建筑工程数量逐渐增加,怎样对住宅结构设计方案进行优化,提升住宅结构设计的能力,是建筑领域面对的主要问题。所以,笔者重点探讨了现阶段住宅结构设计过程中存在的常见问题,进而提出了有关的预防措施。

浅谈住宅结构设计中常见的问题

我国经济水平的不断提高,使得建筑行业的发展也空前迅速.建筑行业为了满足市场的需求,不断加大规模,因此,往往对于建筑物的质量有所忽视,其住宅结构设计就是其中的一点,以下将阐述了住宅结构设计经常出现的问题,主要从砖砌体结构问题、楼层刚度问题、屋面梁与配筋问题、地基与基础方面和配筋和构造问题五个方面来进行.

A hybrid cuckoo search algorithm with feasibility-based rule for constrained structural optimization

Constrained optimization problems are very important as they are encountered in many science and engineering applications.As a novel evolutionary computation technique,cuckoo search(CS) algorithm has attracted much attention and wide applications,owing to its easy implementation and quick convergence.A hybrid cuckoo pattern search algorithm(HCPS) with feasibility-based rule is proposed for solving constrained numerical and engineering design optimization problems.This algorithm can combine the stochastic exploration of the cuckoo search algorithm and the exploitation capability of the pattern search method.Simulation and comparisons based on several well-known benchmark test functions and structural design optimization problems demonstrate the effectiveness,efficiency and robustness of the proposed HCPS algorithm.

Hybridizing artificial bee colony with biogeography-based optimization for constrained mechanical design problems

A novel hybrid algorithm named ABC-BBO, which integrates artificial bee colony(ABC) algorithm with biogeography-based optimization(BBO) algorithm, is proposed to solve constrained mechanical design problems. ABC-BBO combined the exploration of ABC algorithm with the exploitation of BBO algorithm effectively, and hence it can generate the promising candidate individuals. The proposed hybrid algorithm speeds up the convergence and improves the algorithm's performance. Several benchmark test functions and mechanical design problems are applied to verifying the effects of these improvements and it is demonstrated that the performance of this proposed ABC-BBO is superior to or at least highly competitive with other population-based optimization approaches.

A Multi-Level Authorization Based Tenant Separation Mechanism in Cloud Computing Environment

Separation issue is one of the most important problems about cloud computing security. Tenants should be separated from each other based on cloud infrastructure and different users from one tenant should be separated from each other with the constraint of security policies. Learning from the notion of trusted cloud computing and trustworthiness in cloud, in this paper, a multi-level authorization separation model is formally described, and a series of rules are proposed to summarize the separation property of this model. The correctness of the rules is proved. Furthermore, based on this model, a tenant separation mechanism is deployed in a real world mixed-critical information system. Performance benchmarks have shown the availability and efficiency of this mechanism.