TY - GEN
T1 - Influences on determining structural reliability
AU - Hertle, Robert
AU - Brehm, Eric
N1 - Publisher Copyright:
© 2018 Ingenta.
PY - 2017
Y1 - 2017
N2 - The influences to investigate when trying to assess the reliability of structures are manifold. Even if all the relevant stochastic parameters and data for establishing a typical reliability model are known, there are uncertainties to be considered which cannot be covered by probabilistic methods only. In a probabilistic analysis, the basic variables of a design problem, such as e.g. material strength or load effects, have to be modelled as random variables. From there, the failure probability of a member can be determined by use of methods of reliability analysis. This relatively straightforward procedure reaches its limits when additional influences like the simplification and/or linearization of the design problem, the model-reality-antagonism, the paperbuilding site transformation or human error are to be considered. Especially the three latter are not tangible by stochastic methods only. As the nature of these issues is predominantly human, individual competence or its opposite deprive a purely mathematical approach to achieving sufficient reliability.
AB - The influences to investigate when trying to assess the reliability of structures are manifold. Even if all the relevant stochastic parameters and data for establishing a typical reliability model are known, there are uncertainties to be considered which cannot be covered by probabilistic methods only. In a probabilistic analysis, the basic variables of a design problem, such as e.g. material strength or load effects, have to be modelled as random variables. From there, the failure probability of a member can be determined by use of methods of reliability analysis. This relatively straightforward procedure reaches its limits when additional influences like the simplification and/or linearization of the design problem, the model-reality-antagonism, the paperbuilding site transformation or human error are to be considered. Especially the three latter are not tangible by stochastic methods only. As the nature of these issues is predominantly human, individual competence or its opposite deprive a purely mathematical approach to achieving sufficient reliability.
KW - Design checking
KW - Design supervision
KW - Human error
KW - Model uncertainty
KW - Reliability
UR - https://www.scopus.com/pages/publications/85050011174
M3 - Conference contribution
AN - SCOPUS:85050011174
T3 - IABSE Conference, Vancouver 2017: Engineering the Future - Report
SP - 1328
EP - 1335
BT - IABSE Conference, Vancouver 2017
PB - International Association for Bridge and Structural Engineering (IABSE)
T2 - 39th IABSE Symposium in Vancouver 2017: Engineering the Future
Y2 - 21 September 2017 through 23 September 2017
ER -