| Fuzzy randomness: uncertainty in civil engineering and computational mechanics B Möller, M Beer Springer Science & Business Media, 2013 | 753 | 2013 |
| Imprecise probabilities in engineering analyses M Beer, S Ferson, V Kreinovich Mechanical systems and signal processing 37 (1-2), 4-29, 2013 | 562 | 2013 |
| Fuzzy structural analysis using α-level optimization B Möller, W Graf, M Beer Computational mechanics 26 (6), 547-565, 2000 | 416 | 2000 |
| Engineering computation under uncertainty–capabilities of non-traditional models B Möller, M Beer Computers & Structures 86 (10), 1024-1041, 2008 | 370 | 2008 |
| Digital twin-driven intelligent assessment of gear surface degradation K Feng, JC Ji, Y Zhang, Q Ni, Z Liu, M Beer Mechanical Systems and Signal Processing 186, 109896, 2023 | 245 | 2023 |
| Advanced line sampling for efficient robust reliability analysis M de Angelis, E Patelli, M Beer Structural safety 52, 170-182, 2015 | 235 | 2015 |
| A review of vibration-based gear wear monitoring and prediction techniques K Feng, JC Ji, Q Ni, M Beer Mechanical Systems and Signal Processing 182, 109605, 2023 | 229 | 2023 |
| Safety assessment of structures in view of fuzzy randomness B Möller, W Graf, M Beer Computers & Structures 81 (15), 1567-1582, 2003 | 229 | 2003 |
| Resiliency assessment of urban rail transit networks: Shanghai metro as an example D Zhang, F Du, H Huang, F Zhang, BM Ayyub, M Beer Safety Science 106, 230-243, 2018 | 211 | 2018 |
| Reliability analysis with scarce information: Comparing alternative approaches in a geotechnical engineering context M Beer, Y Zhang, ST Quek, KK Phoon Structural Safety 41, 1-10, 2013 | 176 | 2013 |
| Structural reliability analysis on the basis of small samples: an interval quasi-Monte Carlo method H Zhang, H Dai, M Beer, W Wang Mechanical Systems and Signal Processing 37 (1-2), 137-151, 2013 | 163 | 2013 |
| Karhunen–Loève expansion of stochastic processes with a modified exponential covariance kernel PD Spanos, M Beer, J Red-Horse Journal of Engineering Mechanics 133 (7), 773-779, 2007 | 152 | 2007 |
| Modified linear estimation method for generating multi-dimensional multi-variate Gaussian field in modelling material properties Y Liu, FH Lee, ST Quek, M Beer Probabilistic Engineering Mechanics 38, 42-53, 2014 | 127 | 2014 |
| Learning from major accidents to improve system design R Moura, M Beer, E Patelli, J Lewis, F Knoll Safety science 84, 37-45, 2016 | 125 | 2016 |
| Imprecise system reliability and component importance based on survival signature G Feng, E Patelli, M Beer, FPA Coolen Reliability Engineering & System Safety 150, 116-125, 2016 | 118 | 2016 |
| Engineering analysis with probability boxes: A review on computational methods MGR Faes, M Daub, S Marelli, E Patelli, M Beer Structural Safety 93, 102092, 2021 | 109 | 2021 |
| Learning from accidents: Interactions between human factors, technology and organisations as a central element to validate risk studies R Moura, M Beer, E Patelli, J Lewis, F Knoll Safety Science 99, 196-214, 2017 | 104 | 2017 |
| Designing robust structures–a nonlinear simulation based approach M Beer, M Liebscher Computers & Structures 86 (10), 1102-1122, 2008 | 102 | 2008 |
| Are some putative glycogen accumulating organisms (GAO) in anaerobic : aerobic activated sludge systems members of the α-Proteobacteria? M Beer, YH Kong, RJ Seviour Microbiology 150 (7), 2267-2275, 2004 | 101 | 2004 |
| The role of the Bhattacharyya distance in stochastic model updating S Bi, M Broggi, M Beer Mechanical Systems and Signal Processing 117, 437-452, 2019 | 99 | 2019 |
Matteo BroggiLeibniz Universität HannoverПотвърден имейл адрес: irz.uni-hannover.de
