TY - GEN
T1 - A Unified Index Method for Safety Assessment of Crawler Crane Boom Structure
AU - Valerii, Gurko
AU - Zhang, Hongsheng
AU - Li, Shuo
AU - Wang, Yue
N1 - Publisher Copyright:
© The Author(s) 2026.
PY - 2026
Y1 - 2026
N2 - Crawler cranes operate under highly variable loads and configurations, making rapid, reliable safety assessment of boom structure essential. This study proposes a Unified Safety Index (USI) that consolidates three critical indicators: strength (maximum equivalent stress), stability (linear buckling coefficient), and stiffness (displacement) into a single quantitative score. Gaussian membership functions transform each indicator into fuzzy safety grades (“Safe”, “Warning”, “Danger”) using thresholds drawn from national and international standards. An Improved Combination Weighting method based on game theory (ICWGT) combines the Analytic Hierarchy Process and entropy weights to balance expert judgment and data dispersion, resulting in an optimized vector. The fuzzy relationship matrix and ICWGT weights are synthesized to obtain a categorical USI and a continuous score. Validation of finite-element simulations covering various configurations demonstrates accurate categorization across “Safe”, “Warning”, and “Danger” states. Sensitivity analysis, in which each weight varied by ±5%, resulted in a change of less than 3% in the score and did not alter the safety class, confirming the robustness of the proposed method.
AB - Crawler cranes operate under highly variable loads and configurations, making rapid, reliable safety assessment of boom structure essential. This study proposes a Unified Safety Index (USI) that consolidates three critical indicators: strength (maximum equivalent stress), stability (linear buckling coefficient), and stiffness (displacement) into a single quantitative score. Gaussian membership functions transform each indicator into fuzzy safety grades (“Safe”, “Warning”, “Danger”) using thresholds drawn from national and international standards. An Improved Combination Weighting method based on game theory (ICWGT) combines the Analytic Hierarchy Process and entropy weights to balance expert judgment and data dispersion, resulting in an optimized vector. The fuzzy relationship matrix and ICWGT weights are synthesized to obtain a categorical USI and a continuous score. Validation of finite-element simulations covering various configurations demonstrates accurate categorization across “Safe”, “Warning”, and “Danger” states. Sensitivity analysis, in which each weight varied by ±5%, resulted in a change of less than 3% in the score and did not alter the safety class, confirming the robustness of the proposed method.
KW - Crawler Crane
KW - Fuzzy Logic
KW - Game Theory
KW - Safety Assessment
KW - Unified Safety Index
UR - https://www.scopus.com/pages/publications/105035337146
U2 - 10.1007/978-981-95-6911-3_13
DO - 10.1007/978-981-95-6911-3_13
M3 - 会议稿件
AN - SCOPUS:105035337146
SN - 9789819569106
T3 - Lecture Notes in Mechanical Engineering
SP - 135
EP - 142
BT - The 10th International Conference on Advances in Construction Machinery and Vehicle Engineering - ICACMVE 2025
A2 - Halgamuge, Saman
A2 - Ma, Lifeng
A2 - Liang, Weiguo
A2 - Bian, Yongming
PB - Springer Science and Business Media Deutschland GmbH
T2 - 10th International Conference on Advances in Construction Machinery and Vehicle Engineering, ICACMVE 2025
Y2 - 22 August 2025 through 25 August 2025
ER -