Search Results - "Jensen, H.A."

Computational methods in optimization considering uncertainties – An overview by Schuëller, G.I., Jensen, H.A.

“…This article presents a brief survey on some of the most relevant developments in the field of optimization under uncertainty. In particular, the scope and the…”
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A Stochastic Framework for Reliability and Sensitivity Analysis of Large Scale Water Distribution Networks by Jensen, H.A., Jerez, D.J.

“…•Reliability and sensitivity analysis of real water distribution networks has been presented.•The stochastic framework can handle large scale…”
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2142 Temozolimide and capecitabine in heavily pre-treated patients with KRASmut metastatic colorectal cancer. A phase II trial by Qvortrup, C, Keldsen, N, Andersen, F, Jensen, H.A, Krogh, M, Vestermark, L.W, Christensen, G, Bjerregaard, J.K, Pfeiffer, P

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2348 Trastuzumab with triple chemotherapy (DOC-T) in patients with advanced gastro-esophageal cancer. A phase I/II study by Pfeiffer, P, Yilmaz, M, Bæksgaard, L, Schønnemann, K.R, Krogh, M, Qvortrup, C, Bjerregaard, J.K, Jensen, H.A, Vestermark, L.W

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Reliability-based design optimization of structural systems under stochastic excitation: An overview by Jerez, D.J., Jensen, H.A., Beer, M.

“…This article presents a brief survey on some of the latest developments in the area of reliability-based design optimization of structural systems under…”
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Reliability sensitivity analysis of stochastic finite element models by Jensen, H.A., Mayorga, F., Papadimitriou, C.

“…This contribution presents a scheme for integrating a model reduction technique into a simulation-based method for reliability sensitivity analysis of a class…”
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An adaptive scheme for reliability-based global design optimization: A Markov chain Monte Carlo approach by Jensen, H.A., Jerez, D.J., Valdebenito, M.

“…•Reliability-based design optimization of systems under stochastic excitation is considered.•The algorithm generates a set of nearly optimal designs.•The…”
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An effective implementation of reliability methods for Bayesian model updating of structural dynamic models with multiple uncertain parameters by Jerez, D.J., Jensen, H.A., Beer, M.

“…The implementation of reliability methods in the framework of Bayesian model updating of structural dynamic models using measured responses is explored for…”
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Model-reduction techniques for Bayesian finite element model updating using dynamic response data by Jensen, H.A., Millas, E., Kusanovic, D., Papadimitriou, C.

“…This work presents a strategy for integrating a class of model reduction techniques into a finite element model updating formulation. In particular a Bayesian…”
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Sensitivity estimation of failure probability applying line sampling by Valdebenito, M.A., Jensen, H.A., Hernández, H.B., Mehrez, L.

“…•A post-processing step of Line Sampling allows estimating probability sensitivity.•Two different approaches for the post-processing step are formulated.•The…”
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Contaminant source identification in water distribution networks: A Bayesian framework by Jerez, D.J., Jensen, H.A., Beer, M., Broggi, M.

“…•An approach for handling contaminant source characterization problems is presented.•The method is applied in the context of water distribution networks.•The…”
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Implementation of an adaptive meta-model for Bayesian finite element model updating in time domain by Jensen, H.A., Esse, C., Araya, V., Papadimitriou, C.

“…This work explores the feasibility of integrating an adaptive meta-model into a finite element model updating formulation using dynamic response data. A…”
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An effective parametric model reduction technique for uncertainty propagation analysis in structural dynamics by Jensen, H.A., Mayorga, F., Valdebenito, M., Chen, J.

“…•Proposed approach represents a global surrogate model.•Interpolation is performed in terms of a number of support points.•Reduced-order models are efficiently…”
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A Bayesian model updating approach for detection-related problems in water distribution networks by Jensen, H.A., Jerez, D.J.

“…•A Bayesian model updating approach for complex utility networks has been presented.•Transitional Markov chain Monte Carlo facilitates model parameter…”
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Reliability sensitivity estimation of nonlinear structural systems under stochastic excitation: A simulation-based approach by Jensen, H.A., Mayorga, F., Valdebenito, M.A.

“…This work explores the feasibility of using advanced simulation-based methods for reliability sensitivity analysis of nonlinear structural systems subject to…”
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Structural synthesis considering mixed discrete–continuous design variables: A Bayesian framework by Jensen, H.A., Jerez, D.J., Beer, M.

“…In this work attention is directed to general structural optimization problems considering discrete–continuous design variables. The optimization problem is…”
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On the reliability of structures equipped with a class of friction-based devices under stochastic excitation by Jensen, H.A., Mayorga, F., Valdebenito, M.A.

“…This work presents a general framework for performing reliability analyses of involved structural models equipped with friction-based devices under stochastic…”
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Compressive sensing with an adaptive wavelet basis for structural system response and reliability analysis under missing data by Comerford, L., Jensen, H.A., Mayorga, F., Beer, M., Kougioumtzoglou, I.A.

“…•Earthquake excitation power spectra are estimated from incomplete process records.•Process records with missing data are reconstructed using compressive…”
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Asymptotic Bayesian Optimization: A Markov sampling-based framework for design optimization by Jerez, D.J., Jensen, H.A., Beer, M., Chen, J.

“…This paper presents a Markov sampling-based framework, called Asymptotic Bayesian Optimization, for solving a class of constrained design optimization…”
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Model-reduction techniques for reliability-based design problems of complex structural systems by Jensen, H.A., Muñoz, A., Papadimitriou, C., Millas, E.

“…This work presents a strategy for dealing with reliability-based design problems of a class of linear and nonlinear finite element models under stochastic…”
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