引入退火机制的智能单粒子算法在复杂边坡最危险滑动面搜索中的应用

复杂边坡的安全系数可能存在多个局部极小值点,如何确定边坡的最小安全系数是复杂边坡稳定性分析中的一个关键问题.本文结合简化Bishop法,采用一种新的启发式全局优化算法--智能单粒子算法(ISP0)来搜索复杂边坡的最危险滑动面.为帮助该算法快速跳出局部极值点,本文将模拟退火(SA)机制引入到智能单粒子算法中,结合了两种算...     

反调节水库非恒定流数值模拟

采用二维水深平均方程组作为控制方程,利用边界拟合法进行坐标变换,采用有限体积法计算反调节水库的流场。在计算中,由于已知上游泵站抽水流量及下游枢纽供水流量,且上下游均找不到水位流量关系,上下游边界均为流速边界条件,没有压力边界条件,解不惟一,所以采用全水库水量平衡方程作为补充方程来补充定解条件。     

用于海洋环境科学的一种新方法--影响因子分析法

用影响因子法对象山港海域叶绿素a与海水理化因子之间关系分析,结果表明：水温、溶解氧(DO)、气温、盐度、化学耗氧量(COD)因子为叶绿素a浓度变化的重要有效影响因子,其中水温、溶解氧因子占主导地位。由于该海域的富营养化,N、P和Si营养盐已经不再是影响浮游植物生长的有效因子。在特定海域资料有限的情况下,影响因子法比普通的相关和灰色系统分析更具有透明性,能够有效剔除无效因子,定量表达各理化因子对叶绿素a的影响程度。用影响因子法可以明确地判断出特定海域各海水理化因子对叶绿素a影响的主次程度及其有效性,从而定量确定出影响叶绿素a浓度的主要因子。     

A B-spline based higher order panel method for analysis of steady flow around marine propellers

A higher order panel method based on B-spline representation for both the geometry and the solution is developed for the analysis of steady flow around marine propellers. The self-influence functions due to the normal dipole and the source are desingularized through the quadratic transformation, and then shown to be evaluated using conventional numerical quadrature. By selecting a proper order for numerical quadrature, the accuracy of the present method can be increased to the machine limit. The far- and near-field influences are shown to be evaluated based on the same far-field approximation, but the near-field solution requires subdividing the panels into smaller subpanels continuously, which can be effectively implemented due to the B-spline representation of the geometry. A null pressure jump Kutta condition at the trailing edge is found to be effective in stabilizing the solution process and in predicting the correct solution. Numerical experiments indicate that the present method is robust and predicts the pressure distribution on the blade surface, including very close to the tip and trailing edge regions, with far fewer panels than existing low-order panel methods.     

2.5D direct‐current resistivity forward modelling and inversion by finite‐element–infinite‐element coupled method

To reduce the numerical errors arising from the improper enforcement of the artificial boundary conditions on the distant surface that encloses the underground part of the subsurface, we present a finite‐element–infinite‐element coupled method to significantly reduce the computation time and memory cost in the 2.5D direct‐current resistivity inversion. We first present the boundary value problem of the secondary potential. Then, a new type of infinite element is analysed and applied to replace the conventionally used mixed boundary condition on the distant boundary. In the internal domain, a standard finite‐element method is used to derive the final system of linear equations. With a novel shape function for infinite elements at the subsurface boundary, the final system matrix is sparse, symmetric, and independent of source electrodes. Through lower upper decomposition, the multi‐pole potentials can be swiftly obtained by simple back‐substitutions. We embed the newly developed forward solution to the inversion procedure. To compute the sensitivity matrix, we adopt the efficient adjoint equation approach to further reduce the computation cost. Finally, several synthetic examples are tested to show the efficiency of inversion.     

Model and parameter uncertainty in IDF relationships under climate change

Quantifying distributional behavior of extreme events is crucial in hydrologic designs. Intensity Duration Frequency (IDF) relationships are used extensively in engineering especially in urban hydrology, to obtain return level of extreme rainfall event for a specified return period and duration. Major sources of uncertainty in the IDF relationships are due to insufficient quantity and quality of data leading to parameter uncertainty due to the distribution fitted to the data and uncertainty as a result of using multiple GCMs. It is important to study these uncertainties and propagate them to future for accurate assessment of return levels for future. The objective of this study is to quantify the uncertainties arising from parameters of the distribution fitted to data and the multiple GCM models using Bayesian approach. Posterior distribution of parameters is obtained from Bayes rule and the parameters are transformed to obtain return levels for a specified return period. Markov Chain Monte Carlo (MCMC) method using Metropolis Hastings algorithm is used to obtain the posterior distribution of parameters. Twenty six CMIP5 GCMs along with four RCP scenarios are considered for studying the effects of climate change and to obtain projected IDF relationships for the case study of Bangalore city in India. GCM uncertainty due to the use of multiple GCMs is treated using Reliability Ensemble Averaging (REA) technique along with the parameter uncertainty. Scale invariance theory is employed for obtaining short duration return levels from daily data. It is observed that the uncertainty in short duration rainfall return levels is high when compared to the longer durations. Further it is observed that parameter uncertainty is large compared to the model uncertainty.     

Towards a method for postcolonial development geography? Possibilities and challenges

In this paper we explore the contours of a 'method' for postcolonial development geography, which makes it possible to imagine another 'world-picturing'. We suggest three steps towards such a method. First, we propose that a postcolonial method involves thinking about why we are doing research in the south in the first place; how we come to and produce our questions; and how we analyze and represent our findings based on our subject positionings. Second, that we need to recognize theorization as an inherent part of method, rethink how we currently theorize and reconfigure our methods of theorization to address wider political aims. Problematizing theorization helps challenge the universalism of Eurocentric theories, thus enabling development geography to move towards more decolonized versions and visions. Finally, that this must be accompanied by firmer recognition of our multiple investments – personal, institutional and geopolitical – and how they frame the possibilities for change. These are some possible steps that we think can reconfigure the 'scholarly track' that postcolonial development geographers traverse.     

粘性土为主的地基强夯的时效性

根据浦东国际机场飞行区跑道地基强夯工程（三标）实测的不同时间的静力触探资料,讨论以粘性土为主的地基强夯强度增长的时效现象,得出：粘性土为主的地基,强夯的加艇具有滞后特性。     

Wilson非协调数值流形方法

三维数值流形方法中,当数学覆盖取六面体体单元时流形单元总体位移函数中所包含的多项式并不是完全的,非完全的高次项非但对改善精度不起作用,而且还可能起相反的作用。为此,基于Wilson非协调元理论,推导了附加非协调位移基本项的流形元通用公式,通过内参静力凝聚处理,导出了消除单元内参后的单元应变矩阵、单元刚度矩阵,建立了非协调数值流形方法。数值试验表明,在规则数学网格覆盖下它们能够保证收敛,有较高的精度,从而证明所建方法的可行性。     

两种测高重力异常反演海底地形方法比较

针对基于测高重力异常反演海底地形理论众多、选取标准无法确定的情况,利用中国南海海域内的测高重力异常和船测水深数据研究比较了重力地质法(GGM)和Smith&Sandwell (SAS)法两种精度高、计算速度相对较快的海底地形反演理论。其中,GGM方法的密度差异常数Δρ由向下延拓技术确定为2.15 g·cm^-3,SAS方法采用移去-恢复技术得到反演波段内重力异常和水深数据。结果表明:测线分布条件一定时,水深多在-1 000 m左右或反演区域岛礁、海山等复杂海底地形较多时选取SAS方法,水深主要在-3 000 m以深的区域或海底地形复杂程度不高时选取GGM方法则能获取更好的效果,其效果最优处与船测水深在检核点处的差值最优平均值能达-0.61 m,标准差可达14.67 m。