在房屋建筑施工中优化地基基础工程质量的方法

从改革开放发展到现在,我国在经济、建设额等多个领域取得了巨大的突破和发展,多项基础设施获得了快速发展,建筑事业进入了一个新的阶段。随着建筑事业的扩大化发展以及各种建筑工程和规模上的不断上涨,我们也不断扩大了对建筑工程质量的关注度。地基建设建筑工程中最基础的建设,因此地基基础工程建设施工质量的好坏对整个建筑工程质量的优劣有着最直接的影响。所以建筑企业在地基工程的施工中,能否控制好施工的质量,对能否保证建筑的安全和良好质量具有重大的意义。本文主要简要分析了房屋建筑施工中优化地基基础工程施工技术的相关问题,提出了优化地基基础工程施工质量的方法。

现代建筑工程桩基工程施工技术研究

在现代建筑工程中,桩基工程作为重要的基础工程,其施工技术水平直接影响着整体工程质量。为提高桩基工程施工质量,本研究对桩基工程的施工技术进行了详细探讨。采用文献研究、实地考察等方法,对现行建筑行业中的常见桩基工程施工技术进行了全面梳理,以弄清施工过程中出现的模式和规律。研究发现,正确地选择和应用施工技术,如打桩顺序的科学安排、控制施工干扰等,可以显著提升桩基工程的施工质量,缩短施工周期,并降低工程成本。同时,提出了有效的桩基工程施工技术改进方案,旨在推动现代建筑工程桩基工程施工技术的进一步优化和提升。

岩土桩基础施工中地基基础检测技术研究

在建筑学中,地基承载力的严格需求逐渐增加,因此,优化岩土桩基础建设过程中的地基检测方法显得尤为重要。本文详细分析了在地基检测过程中遇到的各种困难和不确定性元素,比如桩顶处理、传感器定位精确度、桩侧土壤属性波动对数据收集等产生影响以及单桩竖向抗压静载试验的重要性。这些因素使我们更深刻地认识到提升岩土工程质量的迫切需求。特别是对于精准评估打桩质量, 我们采取改良低应变检测法、锚杆试验等多项技术手段。文中明确指出选择合适的检测工具和严格执行检测规范的必要性,这既是保证地基打桩项目施工品质和安全性的关键所在,也是促进建筑业长足发展势头并步入新阶段的根本措施。

Integration optimization of novel electric power steering system based on quality engineering theory

The dynamic model of a novel electric power steering （EPS） system integrated with active front steering function （the novel EPS system） is built. The concepts and quantitative expressions of the steering road feel, steering sensibility, and steering operation stability are introduced. Based on quality engineering theory, the optimization algorithm is proposed by integrating the Monte Carlo descriptive sampling, elitist non-dominated sorting genetic algorithm （NSGA-II） and 6-sigma design method. With the steering road feel and the steering portability as optimization targets, the system parameters are optimized by the proposed optimization algorithm. The simulation results show that the system optimized based on quality engineering theory can improve the steering road feel, guarantee steering stability and steering portability and thus provide a theoretical basis for the design and optimization of the novel electric power steering system.

A Novel Real-time Optimization Methodology for Chemical Plants

In this paper, a novel approach termed process goose queue (PGQ) is suggested to deal with real-time optimization (RTO) of chemical plants. Taking advantage of the ad-hoc structure of PGQ which imitates biologic nature of flying wild geese, a chemical plant optimization problem can be re-formulated as a combination of a multi-layer PGQ and a PGQ-Objective according to the relationship among process variables involved in the objective and constraints. Subsequently, chemical plant RTO solutions are converted into coordination issues among PGQs which could be dealt with in a novel way. Accordingly, theoretical definitions, adjustment rule and implementing procedures associated with the approach are explicitly introduced together with corresponding enabling algorithms. Finally, an exemplary chemical plant is employed to demonstrate the feasibility and validity of the contribution.

Primary studies on integration optimization of differential steering of electric vehicle with motorized wheels based on quality engineering

The model of the differential steering system(DSS) of electric vehicle with motorized wheels and the three-degree-of-freedom dynamic model of vehicle are built.Based on these models,the concepts and quantitative expressions of steering road feel,steering portability and steering stability are proposed.Through integrating the Monte Carlo descriptive sampling,elitist non-dominated sorting genetic algorithm(NSGA-II) and Taguchi robust design method,the system parameters are optimized with steering road feel and steering portability as optimization targets,and steering stability and steering portability as constraints.The simulation results show that the system optimized based on quality engineering can improve the steering road feel,guarantee steering stability and steering portability and thus provide a theoretical basis for the design and optimization of the electric vehicle with motorized wheels system.