TY - GEN UR - http://lib.ugent.be/catalog/pug01:8130731 ID - pug01:8130731 LA - eng TI - Computationally efficient estimation of the probability density function for the load bearing capacity of concrete columns exposed to fire PY - 2016 SN - 9781138028470 PB - Delft 2016 AU - Van Coile, Ruben TW14 002005283121 AU - Balomenos, Georgios AU - Pandey, Mahesh AU - Caspeele, Robby TW14 002001067358 802000019840 0000-0003-4074-7478 AU - Criel, Pieterjan TW14 000070294482 802001265884 0000-0002-1038-2642 AU - Wang, Lijie TW14 000110938088 AU - Alfred, Strauss AB - Concrete columns are critical for the stability of structures in case of fire. In order to allow for a true Perfor-mance Based Design, the design should be based on considerations of risk and reliability. Consequently, the probability density function (PDF) which describes the load-bearing capacity of concrete columns during fire exposure has to be assessed. As second order effects can be very significant for columns, traditional probabil-istic methods to determine the PDF become very computationally expensive. More precisely, for most current numerical calculation tools (e.g. Finite Element), the computational requirements are so high that traditional Monte Carlo simulations become infeasible for any practical application. In order to tackle this, a computa-tionally very efficient method is presented and applied in this paper. The method combines the Maximum En-tropy Principle together with the Multiplicative Dimensional Reduction Method, and Gaussian Interpolation, resulting in an estimation of the full PDF requiring only a very limited number of numerical calculations. Alt-hough the result is necessarily an approximation, it gives very good assessment of the PDF and it is a signifi-cant step forward towards true risk- and reliability-based structural fire safety. ER -Download RIS file
00000nam^a2200301^i^4500 | |||
001 | 8130731 | ||
005 | 20170102095330.0 | ||
008 | 161028s2016------------------------eng-- | ||
020 | a 9781138028470 | ||
024 | a 1854/LU-8130731 2 handle | ||
040 | a UGent | ||
245 | a Computationally efficient estimation of the probability density function for the load bearing capacity of concrete columns exposed to fire | ||
260 | a Delft c 2016 | ||
520 | a Concrete columns are critical for the stability of structures in case of fire. In order to allow for a true Perfor-mance Based Design, the design should be based on considerations of risk and reliability. Consequently, the probability density function (PDF) which describes the load-bearing capacity of concrete columns during fire exposure has to be assessed. As second order effects can be very significant for columns, traditional probabil-istic methods to determine the PDF become very computationally expensive. More precisely, for most current numerical calculation tools (e.g. Finite Element), the computational requirements are so high that traditional Monte Carlo simulations become infeasible for any practical application. In order to tackle this, a computa-tionally very efficient method is presented and applied in this paper. The method combines the Maximum En-tropy Principle together with the Multiplicative Dimensional Reduction Method, and Gaussian Interpolation, resulting in an estimation of the full PDF requiring only a very limited number of numerical calculations. Alt-hough the result is necessarily an approximation, it gives very good assessment of the PDF and it is a signifi-cant step forward towards true risk- and reliability-based structural fire safety. | ||
598 | a C1 | ||
100 | a Van Coile, Ruben u TW14 0 002005283121 0 802001071783 | ||
700 | a Balomenos, Georgios | ||
700 | a Pandey, Mahesh | ||
700 | a Caspeele, Robby u TW14 0 002001067358 0 802000019840 0 0000-0003-4074-7478 | ||
700 | a Criel, Pieterjan u TW14 0 000070294482 0 802001265884 0 0000-0002-1038-2642 | ||
700 | a Wang, Lijie u TW14 0 000110938088 0 802001469180 | ||
700 | a Alfred, Strauss | ||
650 | a Technology and Engineering | ||
653 | a concrete column | ||
653 | a fire | ||
653 | a maximum entropy | ||
653 | a probability density functionn | ||
653 | a ME-MDRM | ||
773 | t International Symposium of the International Association for Life-Cycle Civil Engineering (IALCCE 2016) g Proceedings of the 2016 International Symposium of the International Association for Life-Cycle Civil Engineering (IALCCE 2016). 2016. q :< | ||
856 | 3 Full Text u https://biblio.ugent.be/publication/8130731/file/8130733 z [open] y IALCCE2016_B_24_UGENT.pdf | ||
920 | a confcontrib | ||
852 | x EA b TW14 | ||
922 | a UGENT-EA |
All data below are available with an Open Data Commons Open Database License. You are free to copy, distribute and use the database; to produce works from the database; to modify, transform and build upon the database. As long as you attribute the data sets to the source, publish your adapted database with ODbL license, and keep the dataset open (don't use technical measures such as DRM to restrict access to the database).
The datasets are also available as weekly exports.