ARCOM

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Çevikbaş, M, Okudan, O and Işık, Z (2022) New Delay-Analysis Method Using Modified Schedule and Modified Updated Schedule for Construction Projects. Journal of Construction Engineering and Management, 148(11).

Asghari, V, Wang, Y, Biglari, A J, Hsu, S and Tang, P (2022) Reinforcement Learning in Construction Engineering and Management: A Review. Journal of Construction Engineering and Management, 148(11).

Feng, H, Song, Q, Yin, C and Cao, D (2022) Adaptive Impedance Control Method for Dynamic Contact Force Tracking of Robotic Excavators. Journal of Construction Engineering and Management, 148(11).

González-Cruz, M, Ballesteros-Pérez, P, Lucko, G and Zhang, J (2022) Critical Duration Index: Anticipating Project Delays from Deterministic Schedule Information. Journal of Construction Engineering and Management, 148(11).

Hajarolasvadi, H and Shahhosseini, V (2022) A System-Dynamic Model for Evaluating the Effect of Person–Team Fit on Project Performance. Journal of Construction Engineering and Management, 148(11).

Hebiba, A M, Bouferguene, A, Moon, S and Han, S (2022) Wind-Wise Automated Stability Analysis for Selection of Tower Crane and Location. Journal of Construction Engineering and Management, 148(11).

Li, L, Luan, H, Yin, X, Dou, Y, Yuan, M and Li, Z (2022) Understanding Sustainability in Off-Site Construction Management: State of the Art and Future Directions. Journal of Construction Engineering and Management, 148(11).

Ma, H, Lv, K, Zeng, S, Lin, H and Shi, J J (2022) Climbing the Pyramid of Megaproject Social Responsibility: Impacts of External Stakeholders and Project Complexity. Journal of Construction Engineering and Management, 148(11).

Moharrami, S, Bayat, A and AbouRizk, S (2022) Modeling Microtunnel Boring Machine Penetration Rate Using a Mechanistic Approach. Journal of Construction Engineering and Management, 148(11).

Type: Journal Article
Keywords: Microtunneling; Penetration rate; Mechanistic approach; Microtunnel boring machine (MTBM);
ISBN/ISSN: 0733-9364
URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002402
Abstract:
Predicting the productivity of microtunneling construction projects is challenging, due to the complexities of this trenchless excavation method. One of these complexities is estimating the microtunnel boring machine (MTBM) penetration rate due to the complex nature of the interactions between the MTBM and the ground. In the present study, a novel mechanistic approach based on the theory of contact mechanics is proposed to determine the underlying mechanics of the MTBM penetration rate. Using the proposed mechanistic approach, an analytical model of the MTBM penetration rate is developed, and a mechanistic relationship between the MTBM penetration rate and its influential factors, namely soil properties, operational loads, and cutterhead characteristics, is established. The proposed approach is expected to provide substantial mechanistic insight with respect to MTBM penetration rates by (1) modeling penetration rates of MTBMs into soils, (2) identifying the factors that influence penetration rates based on a fundamental theoretical approach, and (3) providing a useful tool for evaluating MTBM penetration rates based on the combined influences of ground properties, operational loads, and cutterhead characteristics.

Sharif, M M, Chuo, S and Haas, C T (2022) Rapid 3D Quality Control in Prefabrication Using a 3D Digital-Templates Framework. Journal of Construction Engineering and Management, 148(11).

Sun, G, Sun, J and Li, F (2022) Influencing Factors of Early Termination for PPP Projects Based on Multicase Grounded Theory. Journal of Construction Engineering and Management, 148(11).