The new Austrian tunnelling method (NATM) and tunnel boring machine (TBM) are methods for excavating underground spaces. NATM construction has noise vibration problems, excavation using TBM the disadvantage of high initial cost is limited by ground conditions. A parallel been developed to overcome these limitations. However, research on lacking, it crucial identify applicability in advance appl...

Continuous tunneling using a tunnel-boring machine is very popular method when it comes to the construction of large tunnel projects. The use precast reinforced concrete elements, called tubbings, highly economical way secure post excavation. Unfortunately, loss load-bearing capacity has been observed in past joints between tubbings. Reasons for that are among others required reduction cross se...

To explore the influences of microwave irradiation on rock-breaking efficiency tunnel boring machine (TBM) cutters, a multimode cavity with power 2100 W was used to conduct tests Chifeng basalt for different durations. A combined abrasion test device reduced-scale SP3-I TBM cutter adopted wear and samples before after irradiation. Influences loss cutter, rock removal, cutting force, specific en...

Changing the cutter is an essential procedure in tunnel boring machine (TBM) operations. The danger and low efficiency of manually replacing disc has led engineering equipment designers to study technologies automate changing cutters. key step design a new integrated (simplifying replacement process) facilitate robot operation. Until now, research systems mainly relied on inspiration. In this p...

Tunnel boring machines often encounter clogging during excavation in strata with rich clay content. The can damage the cutterhead and interrupt excavation. Cutting tool clogging, also known as mud cake formation, has a strong effect on work efficiency. While current studies are focusing mechanism of engineering practice still heavily relies qualitative empirical judgement. To quantitatively ass...

Pre-tunneling exploration for rock mass classification is a common practice in tunneling projects. This study proposes data-driven approach that allows classification. Two machine learning (ML) models, namely random forest (RF) and extremely randomized tree (ERT), are employed to classify the conditions encountered Pahang-Selangor Raw Water Tunnel Malaysia using tunnel boring (TBM) operating pa...

INTRODUCTION The issue of increasing population is a problem prevailing in all urban cities in the world. Urban congestion in Hong Kong is particularly amplified by its hilly terrain. A clear trend can be seen in recent decades all over the world with networks of transportation as well as provisions of utilities services seeking underground solutions, which in some cases is the only feasible op...