Identification of wave forces on a floating bridge from acceleration and wave elevation data using inverse methods and wave field reconstruction

Øyvind Wiig Petersen, Ole Øiseth, Eliz-Mari Lourens

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
47 Downloads (Pure)


Knowledge of the ambient loads are important for assessing the dynamic behavior of long-span bridges. However, the assumptions in the adopted load models used in the dynamic analysis leads to uncertainties in e.g. reliability assessments. To reduce the uncertainties, full-scale studies of the loads on existing structures can be performed. Recently developed methods for inverse identification can estimate the unknown forces on a structure using a limited set of dynamic response measurements and a numerical model of the structure. In this contribution, a pilot study of full-scale force identification is performed in a practical case study of the Bergsøysund bridge, a pontoon bridge with a floating span of 840 m. A state of the art filtering technique for input estimation is applied to identify the wave forces on the bridge using measured acceleration data. This article also presents a method for frequency-domain reconstruction of the wave forces, based on a parametric wave field model from measured wave elevation data. The obtained force estimates from the two approaches shows a reasonable agreement. The practical use of the identification techniques are reviewed from the viewpoint of this case study and sources of uncertainties are discussed.
Original languageEnglish
Title of host publicationProceedings of the ISMA 2018 International Conference on Noise and Vibration Engineering
Subtitle of host publication17-19 September, Leuven, Belgium
Number of pages10
Publication statusPublished - 2018
EventISMA 2018: Conference on Noise and Vibration Engineering - Leuven, Belgium
Duration: 17 Sep 201819 Sep 2018
Conference number: 28


ConferenceISMA 2018
Abbreviated titleISMA 2018


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