CAJ | 학술논문

在地下工程设计、施工中面临各种地质风险因素,传统的系统安全评价方法容易产生判断误差从而不能确定最大风险源,给地下工程的设计和施工带来许多潜在的风险因素。为了规避风险,就必须寻求更好的方法。目前,一种来源于生物理论的自然进化全局模糊摸索优化算法——基因遗传算法被国外许多国家广泛运用于地下岩土工程中的实际运算评价。该方法是基于达尔文的物竞天择的遗传机理和自然选择的原理延伸出来的模糊搜索方法。
재지하공정설계、시공중면림각충지질풍험인소,전통적계통안전평개방법용역산생판단오차종이불능학정최대풍험원,급지하공정적설계화시공대래허다잠재적풍험인소。위료규피풍험,취필수심구경호적방법。목전,일충래원우생물이론적자연진화전국모호모색우화산법——기인유전산법피국외허다국가엄범운용우지하암토공정중적실제운산평개。해방법시기우체이문적물경천택적유전궤리화자연선택적원리연신출래적모호수색방법。
In underground engineering design,construction of various geological risk factors faced in the system,the traditional safety assessment methods to produce judgment error and thus can not determine the biggest risk source,to the design and construction of underground engineering brings many potential risk factors.In order to avoid risk,they require the more thorough analysis and research,we must seek better ways.At present,a natural evolution from biological theories global fuzzy grope optimization algorithm by genetic algorithm,is widely used in many foreign countries of underground geotechnical engineering practical operation comments.This method is based on the genetic mechanism of natural selection of Darwin＇s theory of natural selection and the fuzzy search method extends.