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Institut for Byggeri og Bygningsdesign

Publications by Structural Engineering

Are you looking for publications by the Section of Structural Engineering? On this page you can find all the publications made by the Section of Structural Engineering - Department of Civil & Architectural Engineering, Aarhus University.

Below you can find a list of all the publications, their publishing date, their author(s), and title. The list can be sorted by date, author, and title:

List of Publications

Sortér efter: Dato | Forfatter | Titel

D. Pedersen, B., Hoerlykke, T. & Sørensen, K. K. (2019). Influence of pre-augering on ground surface displacements around driven piles in clay. Afhandling præsenteret på 17th European Conference on Soil Mechanics and Geotechnical Engineering (ECSMGE) , Reykjavik, Island. https://doi.org/10.32075/17ECSMGE-2019-0416

Burlina, C., Georgakis, C. T., Larsen, S. V. & Egger, P. (2018). Aerodynamics and rain rivulet suppression of bridge cables with concave fillets. Wind and Structures, An International Journal, 26(4), 253-266. https://doi.org/10.12989/was.2018.26.4.253

Camargo, E. A., Ulfkjaer, J. P., Brincker, R., Nøergaard, J. & Gadegaard, S. S. (2019). Operational Modal Analysis and Finite-Element Model Updating of Pilot Concrete Wind Turbine Tower. Journal of Structural Engineering (United States), 145(2), Artikel 05018003. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002242

Bucinskas, P. & Andersen, L. V. (2018). Effects of railway track modelling to surrounding soil and structure excitation. I 25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling (Bind 7, s. 4148-4155). The International Institute of Acoustics and Vibration (IIAV).

Rajasingam, A., Kirkegaard, P. H. & Andersen, L. V. (2018). Bending – Active Structures Modelling, Behavior and Stiffness Analysis. I C. Mueller & S. Adriaenssens (red.), Proceedings of the IASS Symposium 2018: Creativity in Structural Design The International Association for Shell and Spacial Structures. https://www.ingentaconnect.com/content/iass/piass/2018/00002018/00000015/art00009

Alibrandi, U., Lacquaniti, S. & Ricciardi, G. (2003). A Non-Gaussian Statistical Linearization method for the analysis of non-linear SDOF systems. I 16th AIMETA Congress of Theoretical and Applied Mechanics

Alibrandi, U. & Ricciardi, G. (2003). A safe bound of the probability of plastic collapse in the Stochastic Limit Analysis. I 16th AIMETA Congress of Theoretical and Applied Mechanics

Alibrandi, U. & Ricciardi, G. (2004). The stochastic stress vectors in the static approach of the probabilistic Limit Analysis. I MECCANICA STOCASTICA ’04, AIMETA Congress of Stochastic Mechanics and Structural Reliability

Alibrandi, U., Dárrigo, A. & Ricciardi, G. (2006). Reliability Analysis with respect to the Ultimate Limit States of plastic collapse and buckling. I CRASC’06, Crolli e affidabilità delle strutture civili

Alibrandi, U. & Ricciardi, G. (2007). The Kernel Density Maximum Entropy method for Non-Gaussian Stochastic Linearization. I 18th AIMETA Congress of Theoretical and Applied Mechanics

Alibrandi, U., Impollonia, N. & Ricciardi, G. (2007). Probabilistic buckling analysis through a novel non-linear response surface. I 18th AIMETA Congress of Theoretical and Applied Mechanics

Alibrandi, U., Impollonia, N. & Ricciardi, G. (2008). The Non-Polynomial Response Surface in the Reliability Buckling Approach. I Meccanica Stocastica 2008

Alibrandi, U. & Ricciardi, G. (2008). Non-Gaussian Stochastic Linearization solved by the Kernel Density Maximum Entropy approach. I Meccanica Stocastica 2008

Alibrandi, U. & Ricciardi, G. (2008). The Uniform Design Support Vector Method in Structural Reliability Analysis. I Meccanica Stocastica 2008

Alibrandi, U., Impollonia, N. & Ricciardi, G. (2009). Probabilistic Buckling Analysis of Frame Structures with uncertain parameters. I 19th AIMETA Congress of Theoretical and Applied Mechanics

Alibrandi, U. & Ricciardi, G. (2010). Structural Reliability Analysis using a Response Surface based on the Support Vector Method. I XVIII GIMC Conference

Alibrandi, U., Mercieca, G. & Ricciardi, G. (2010). Bounds of the probability of plastic collapse of structures by means of Probabilistic Limit Analysis. I XVIII GIMC Conference

Alibrandi, U., Impollonia, N. & Ricciardi, G. (2007). A non linear performance function for probabilistic buckling analysis. I ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering

Alibrandi, U., Impollonia, N. & Ricciardi, G. (2009). Post-Buckling analysis of frames with uncertain parameters. I International Mechanical Engineering Congress and expositions, ASME 2009 American Society of Mechanical Engineers (ASME).

Alibrandi, U. (2011). A Response Surface Method for nonlinear stochastic dynamic analysis. I ICASP 2011

Alibrandi, U. & Ricciardi, G. (2011). Structural Reliability Analysis solved through a SVM-based Response Surface. I ICASP 2011

Alibrandi, U. (2012). An alternative linear response surface improving FORM solution for stochastic dynamic analysis. I 16th Working Conference of the IFIP working group 7.5 on Reliability and Optimization of Structural Systems

Alibrandi, U., Ma, C. & Koh, C. G. (2013). Stochastic Dynamic Analysis of a Steel Catenary Riser connected to a floating vessel. I 26TH KKHTCNN Symposium on Civil Engineering

Ma, C., Alibrandi, U. & Koh, C. G. (2014). Reliability Analysis of a Steel Catenary Riser With Environmental, Geomerty, and Operational Uncertainties. I Proceedings of the ASME 33rd International Conference on Ocean, Offshore and Arctic Engineering Artikel OMAE2014-23057, V04AT02A003 https://doi.org/10.1115/OMAE2014-23057

Ma, C. Y., Alibrandi, U. & Koh, C. G. (2014). Uncertainties in Effective Tension and Bending Moment of a Steel Catenary Riser under Random Wave. I Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA American Society of Mechanical Engineers (ASME). https://doi.org/10.1061/9780784413609.256

Alibrandi, U., Ma, C. & Koh, C. G. (2014). The improved FORM for Stochastic Dynamic Analysis. I Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM2014) https://doi.org/10.1061/9780784413609.255

Alibrandi, U. & Koh, C. G. (2015). Stochastic Dynamic Analysis of a marine riser using the First Order Reliability Method. I 12th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP12 https://doi.org/10.14288/1.0076294

Alibrandi, U., Ma, C., Low, Y. M. & Koh, C. G. (2015). Prediction of the response of a SCR using the Multi-Gaussian Maximum Entropy Method. I ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering (Bind 3: Structures, Safety and Reliability). Artikel OMAE2015-41221 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/OMAE2015-41221

Alibrandi, U. & M. Mosalam, K. (2015). Life cycle optimal design using Performance Based Engineering. I Second International Conference on Performance-based and Life-cycle Structural Engineering

Konstantakopoulos, I., Alibrandi, U., M. Mosalam, K. & Spanos, C. (2018). Hierarchical Decision Making by leveraging utility theory and game theoretic analysis towards sustainability in building design – operation. I 6th International Symposium on Reliability Engineering and Risk Management https://doi.org/10.3850/978-981-11-2726-7_CDSE05

Alibrandi, U. & M. Mosalam, K. (2018). Multi criteria lifecycle analyses for sustainable and resilient building design. I 6th International Symposium on Reliability Engineering and Risk Management https://www.researchgate.net/publication/326080661_Multicriteria_Lifecycle_Analyses_for_Sustainable_and_Resilient_Building_Design

Alibrandi, U. & M. Mosalam, K. (2018). The Tail Probability Equivalent Linearization Method for stochastic dynamic analysis of marine structures. I 6th International Symposium on Reliability Engineering and Risk Management

Alibrandi, U. & M. Mosalam, K. (2018). Kernel Density Maximum Entropy for stochastic dynamic analysis of floating production systems. I 6th International Symposium on Reliability Engineering and Risk Management

Broccardo, M., Alibrandi, U., Wang, Z. & Garre, L. (2017). The Tail Equivalent Linearization Method for nonlinear stochastic processes, genesis and developments. I P. Gardoni (red.), Springer Series in Reliability Engineering (s. 109-142). Springer. https://doi.org/10.1007/978-3-319-52425-2

Alibrandi, U. & M. Mosalam, K. (2017). A Decision Support Tool for Sustainable and Resilient Building design. I P. Gardoni (red.), Springer Series in Reliability Engineering: In Honor of Prof. Armen Der Kiureghian (s. 509-536). Springer. https://doi.org/10.1007/978-3-319-52425-2_22

Alibrandi, U. & M. Mosalam, K. (2018). Lifecycle Multi Criteria Decision Analysis using Generalized Expected Utility. I Handbook on Sustainable and Resilient Infrastructure

Alibrandi, U. & Ricciardi, G. (2007). The use of stochastic stresses in the static approach of probabilistic limit analysis. International Journal for Numerical Methods in Engineering, 73, 747-782. https://doi.org/0.1002/nme.2089

Alibrandi, U. & Ricciardi, G. (2008). Efficient evaluation of the pdf of a random variable through the Kernel-Density Maximum Entropy approach. International Journal for Numerical Methods in Engineering, 75(13), 1511 - 1548. https://doi.org/10.1002/nme.2300

F. Ø. Jensen, S., Andersen, L. V., R. Pedersen, R. & Bjerre Nielsen, M. (2018). Multi-Level Design of Tubular Joints. I ASME 2018 1st International Offshore Wind Technical Conference, IOWTC 2018: Proceedings Artikel IOWTC2018-1015, V001T01A041 American Society of Mechanical Engineers. https://doi.org/10.1115/IOWTC2018-1015

Alibrandi, U., Impollonia, N. & Ricciardi, G. (2009). Probabilistic Eigenvalue Buckling Analysis solved through the Ratio of Polynomial Response Surface. Computer Methods in Applied Mechanics and Engineering, 199(9-12), 450-464. https://doi.org/10.1016/j.cma.2009.08.015

Alibrandi, U. & Der Kiureghian, A. (2011). A Gradient-Free Method for Determining the Design Point in Nonlinear Stochastic Dynamic Analysis. Probabilistic Engineering Mechanics, 28, 2-10. https://doi.org/10.1016/j.probengmech.2011.08.018

Alibrandi, U. (2014). A Response Surface Method for stochastic dynamic analysis. Reliability Engineering & System Safety, 126, 44-53. https://doi.org/10.1016/j.ress.2014.01.003

Finocchio, G., Casablanca, O., Ricciardi, G., Alibrandi, U., Garesci, F. & Chiappini, M. (2014). Seismic metamaterials based on isochronous mechanical oscillators. Applied Physics Letters, 104(19). https://doi.org/10.1063/1.4876961

Alibrandi, U., Alani, A. M. & Ricciardi, G. (2015). A new second-order SVM-based Response Surface for Structural Reliability Analysis. Probabilistic Engineering Mechanics, 41, 1-12.

Alibrandi, U. & Falsone, G. (2015). Optimal design of dampers in seismic excited structures by the Expected value of the stochastic Dissipated Power. Probabilistic Engineering Mechanics, 41, 129-138. https://doi.org/10.1016/j.probengmech.2015.06.001

Alibrandi, U., Alani, A. & Koh, C. G. (2015). Implications of High-Dimensional Geometry for Structural Reliability Analysis and a Novel Linear Response Surface Method Based on SVM. International Journal of Computational Methods, 12(04). https://doi.org/10.1142/S0219876215400162

Alibrandi, U. & Koh, C. G. (2015). First Order Reliability Method in presence of random and interval variables. Journal of Risk and Uncertainty in Engineering Systems - Part B : Mechanical Engineering, 1(4), Artikel RISK-14-1073. https://doi.org/10.1115/1.4030911

Alibrandi, U., Ma, C. & Koh, C. G. (2015). The Secant Hyperplane Method (SHM) for structural reliability analysis. Journal of Engineering Mechanics, 142(3). https://doi.org/10.1061/(ASCE)EM.1943-7889.0001024

Alibrandi, U. & Koh, C. G. (2017). Stochastic Dynamic Analysis of Floating Production Systems using the First Order Reliability Method and the Secant Hyperplane Method. Ocean Engineering, 137, 68-77. https://doi.org/10.1016/j.oceaneng.2017.02.031

Alibrandi, U. & M. Mosalam, K. (2017). Kernel Density Maximum Entropy with generalized moments for evaluating probability distributions, including tails, from a small sample of data. International Journal for Numerical Methods in Engineering, 113(13), 1904-1928. https://doi.org/10.1002/nme.5725

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Revideret 18.09.2024

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AU Engineering