基于深基坑工程实例的推理技术和应用

Techniques and application of case-based reasoning of deep excavations

将拟建基坑的周边环境条件(包括开挖深度)和(或)工程地质和(或)水文地质作为求解的前提条件,利用模糊理论,通过分析和计算,可从实例数据库中寻找出最匹配一基坑工程实例,即求解目标。寻找到的是已竣工的典型实例,数据库中存储着与它相关的勘察、设计、施工、监测阶段的信息,包含着周边环境、地质、支护设计、地下水控制方案和监测数据。因为拟建工程的周边环境、地质条件、开挖深度等前提条件与该实例相似,因此与该实例相关的信息,例如,设计方案等,对拟建基坑工程的设计施工方案的优化等将有一定的参考价值。介绍了基于基坑工程实例推理技术的原理和具体实施过程,并预测了应用前景。

For a project of excavation,the surrounding environment(including depth of excavation),engineering geological and hydrological conditions are regarded as the premise.The fuzzy theory is employed.According to the results,the most matchable case of deep foundation pits can be found and searched out from the database,which is the solving goal.The case from the database is typical and completed.Much information related with the case is stored in the database such as surrounding environment,geology,retaining design,groundwater control and monitoring data.Because the project has the surrounding environment,geology and depth of excavation similar to those the case searched out from the database,the information of the sorted case,for example,retaining design,can be helpful to optimize the design and construction of the project.The principles and implementation of case-based reasoning of deep excavations are introduced.The applications of this technique are also predicted.