Risk Management of a Mechanized Tunneling Project through Assessment of Geological Units Using an Evolutionary Method

Assessment of geological units is one of the most effective factors involved in the risk management in tunneling and underground constructions. Therefore, the main purpose of carrying out thiswork was to classify the geological units of the third section of Ghomrud tunnel using an evolutionary method. Hence, in this research, three important physical and mechanical characteristics of study area are considered including overburden (H), internal friction angle ( ) and cohesion (c). Moreover, there arenine geological units along the tunnel route. Using meta-heuristic algorithms, clustering technique andconsidering rock mechanical characteristics, geological units have been classified into three separate clusters based on the stochastic optimization technique. In fact, the clustering of risks uses Lloyd's Algorithm (k-means clustering) based on Genetic Algorithm (GA) performed by Matlab software. Then,the results of classification are validated by drilling rate index (DRI) of tunneling process. Finally, theresults show that geological units in the path of Ghomrud tunnel were classified into two categories of weak zones and strong zones

کلیدواژه ها:

Risk management ، Classification ، Evolutionary method ، Genetic algorithm (GA) ، Stochastic optimization