Book Chapter
Showing results 1 - 11 out of 11
Journal Articles
Showing results 241 - 260 out of 313
2019
Wang, C., Zhang, H., & Beer, M. (2019). Structural Time-Dependent Reliability Assessment with New Power Spectral Density Function. Journal of Structural Engineering, 145(12), Article 04019163. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002476
Wei, P., Song, J., Bi, S., Broggi, M., Beer, M., Lu, Z., & Yue, Z. (2019). Non-intrusive stochastic analysis with parameterized imprecise probability models: II. Reliability and rare events analysis. Mechanical Systems and Signal Processing, 126, 227-247. https://doi.org/10.1016/j.ymssp.2019.02.015
Wei, P., Song, J., Bi, S., Broggi, M., Beer, M., Lu, Z., & Yue, Z. (2019). Non-intrusive stochastic analysis with parameterized imprecise probability models: I. Performance estimation. Mechanical Systems and Signal Processing, 124, 349-368. https://doi.org/10.1016/j.ymssp.2019.01.058
Zhang, Y., Gomes, A. T., Beer, M., Neumann, I., Nackenhorst, U., & Kim, C. W. (2019). Modeling asymmetric dependences among multivariate soil data for the geotechnical analysis: The asymmetric copula approach. Soils and foundations, 59(6), 1960-1979. https://doi.org/10.1016/j.sandf.2019.09.001
2018
Akramin, M. R. M., Ariffin, A. K., Kikuchi, M., Beer, M., Shaari, M. S., & Husnain, M. N. M. (2018). Surface crack growth prediction under fatigue load using probabilistic S-version finite element model. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 40(11), Article 522. https://doi.org/10.1007/s40430-018-1442-8
Chen, N., Hu, Y., Yu, D., Liu, J., & Beer, M. (2018). A polynomial expansion approach for response analysis of periodical composite structural–acoustic problems with multi-scale mixed aleatory and epistemic uncertainties. Computer Methods in Applied Mechanics and Engineering, 342, 509-531. https://doi.org/10.1016/j.cma.2018.08.021
Chen, N., Yu, D., Xia, B., & Beer, M. (2018). Hybrid Uncertain Analysis for Exterior Acoustic Field Prediction with Interval Random Parameters. International Journal of Computational Methods, 15(2), Article 1850006. https://doi.org/10.1142/S0219876218500068
Comerford, L., Mannis, A., DeAngelis, M., Kougioumtzoglou, I. A., & Beer, M. (2018). Utilising database-driven interactive software to enhance independent home-study in a flipped classroom setting: going beyond visualising engineering concepts to ensuring formative assessment. European Journal of Engineering Education, 43(4), 522-537. https://doi.org/10.1080/03043797.2017.1293617
Dannert, M. M., Fau, A., Nogueira Fleury, R. M., Broggi, M., Nackenhorst, U., & Beer, M. (2018). A Probability-Box Approach on Uncertain Correlation Lengths by Stochastic Finite Element Method. PAMM - Proceedings in Applied Mathematics and Mechanics. https://doi.org/10.1002/pamm.201800114
Lu, N., Liu, Y., & Beer, M. (2018). Extrapolation of extreme traffic load effects on a cable-stayed bridge based on weigh-in-motion measurements. International Journal of Reliability and Safety, 12(1-2), 69-85. https://doi.org/10.1504/IJRS.2018.092504
Lu, N., Liu, Y., & Beer, M. (2018). System reliability evaluation of in-service cable-stayed bridges subjected to cable degradation. Structure and Infrastructure Engineering, 14(11), 1486-1498. https://doi.org/10.1080/15732479.2018.1459743
Mitseas, I. P., Kougioumtzoglou, I. A., Giaralis, A., & Beer, M. (2018). A novel stochastic linearization framework for seismic demand estimation of hysteretic MDOF systems subject to linear response spectra. Structural Safety, 72, 84-98. https://doi.org/10.1016/j.strusafe.2017.12.008
Tolo, S., Patelli, E., & Beer, M. (2018). An open toolbox for the reduction, inference computation and sensitivity analysis of Credal Networks. Advances in Engineering Software, 115, 126-148. https://doi.org/10.1016/j.advengsoft.2017.09.003
Wang, C., Zhang, H., & Beer, M. (2018). Computing tight bounds of structural reliability under imprecise probabilistic information. Computers & structures, 208, 92-104. https://doi.org/10.1016/j.compstruc.2018.07.003
Zhang, Y., Comerford, L., Kougioumtzoglou, I. A., & Beer, M. (2018). Lp-norm minimization for stochastic process power spectrum estimation subject to incomplete data. Mechanical Systems and Signal Processing, 101, 361-376. https://doi.org/10.1016/j.ymssp.2017.08.017
Zhang, Y., Kim, C.-W., Beer, M., Dai, H., & Guedes Soares, C. (2018). Modeling multivariate ocean data using asymmetric copulas. Coastal Engineering, 135, 91-111. https://doi.org/10.1016/j.coastaleng.2018.01.008
Zhang, Y., Gomes, A. T., Neumann, I., Beer, M., Nackenhorst, U., & Kim, C. W. (2018). Reliability analysis with consideration of asymmetrically dependent variables: Discussion and application to geotechnical examples. Reliability Engineering and System Safety, 185, 261-277. https://doi.org/10.1016/j.ress.2018.12.025
Zhang, D., Du, F., Huang, H., Zhang, F., Ayyub, B. M., & Beer, M. (2018). Resiliency assessment of urban rail transit networks: Shanghai metro as an example. Safety Science, 106, 230-243. https://doi.org/10.1016/j.ssci.2018.03.023
Zhong, S., Pantelous, A. A., Beer, M., & Zhou, J. (2018). Constrained non-linear multi-objective optimisation of preventive maintenance scheduling for offshore wind farms. Mechanical Systems and Signal Processing, 104, 347-369. https://doi.org/10.1016/j.ymssp.2017.10.035
2017
Attarzadeh, M., Chua, K. H., Beer, M., & Abbott, L. S. (2017). Fuzzy Randomness Simulation of Long-Term Infrastructure Projects. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 3(3), Article 04017002. https://doi.org/10.1061/AJRUA6.0000902
