摘要
锚拉桩结构的桩身设计参数组合的求解是锚拉桩优化设计的重要内容,在所有满足要求的设计参数组合中,必定存在一组设计参数,可使锚拉桩的造价最低,因此获得这组设计参数对于锚拉桩桩身设计具有十分显著的工程实用价值。基于粒子群优化算法(PSO)的特点,通过一个滑坡治理的工程实例,以单位宽度的滑坡土体设置的锚拉桩的造价作为目标函数,对锚拉桩的桩截面宽b、桩截面长a、桩身长l、桩间距d这4个关键设计参数进行迭代搜索求解;采用MATLAB编写PSO的计算程序,并创建粒子群优化算法(PSO)的用户图形界面(GUI),即PSO-GUI,获得4个关键设计参数的组合;应用Visual C++编程计算优化前和优化后的锚拉桩桩身内力和变形,并与各自的桩身内力设计值和变形允许值进行比较。结果表明:在安全储备相同的条件下,两种参数组合设计的锚拉桩桩身内力和变形均在安全控制范围之内,但优化后设计的锚拉桩与优化前设计的相比,还能节省一定的工程造价,可取得较好的经济效益,且PSO的优化效果明显,也说明采用PSO对锚拉桩桩身进行优化设计具有可行性,为锚拉桩的优化设计提供了新的思路和借鉴。
Solving parameters combination of the pile design of anchor piles structure is an important part of the anchor pile optimization design.Among all the design parameter combinations meeting the requirements,there must be a set of combination which minimizes the cost of the anchor piles.Therefore,obtaining the set of design parameters combination has significant engineering value for the anchor pile optimization design.Based on the characteristics of particle swarm optimization（PSO）and with a project case of landslide control,this paper takes the cost of unit width landslide soil of anchor piles as the objective function,and conducts an iterative search to solve the four key design parameters,which are pile cross section width a,pile cross section length b,pile length l and center of pile spacing dof anchor piles.The paper compiles a PSO calculation programs by MATLAB and creates a PSO user graphical interface（GUI）,namely the PSO-GUI,to obtain the combinations of the four key design parameters.Then the paper computes the internal force and deformation of anchor piles before and after optimization by Visual C＋＋ software programming,and compares the internal force design values and permissible deformation values of the piles.The results show that internal force and deformation of anchor piles under the two kinds of parameters design are in the range of security control when the security reserve is the same.But after optimization anchor piles can save a certain degree of project cost compared with that before optimization,and can acquire better economic benefit.It can be seen that PSO optimization effect is obvious and anchor pile optimization design by PSO is feasible,which provides a new idea and reference for anchor pile optimization design.
出处
《安全与环境工程》
CAS
2016年第2期117-124,共8页
Safety and Environmental Engineering
基金
国家自然科学基金项目(41272306)
