Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Ibsen Chivatá Cárdenas"'
Publikováno v:
European Journal of Transport and Infrastructure Research, Vol 18, Iss 4 (2018)
Based on the examination of the transactions made in 58 case study projects, we have developed probabilistic causation models that include relationships hypothesised from exhaustive literature reviews. These models contain relationships that relate a
Externí odkaz:
https://doaj.org/article/b0791e484fa54af6a723870a6ea98da7
Autor:
Ibsen Chivatá Cárdenas
Publikováno v:
Ingeniería e Investigación, Vol 28, Iss 2, Pp 22-29 (2008)
This article presents a rainfall model constructed by applying non-parametric modelling and imprecise probabilities; these tools were used because there was not enough homogeneous information in the study area. The area’s hydro-logical information
Externí odkaz:
https://doaj.org/article/ad02b9f2e55e4f13882e13b1e761cd8a
Autor:
Ibsen Chivatá Cárdenas
Publikováno v:
Ingeniería e Investigación, Vol 28, Iss 1, Pp 26-40 (2008)
A landslide susceptibility model was developed for the city of Manizales, Colombia; landslides have been the city’s main environmental problem. Fuzzy sets and possibility and evidence-based theories were used to construct the mo-del due to the set
Externí odkaz:
https://doaj.org/article/52121c4ebf7645c7a9ae3d24c2968ce2
Publikováno v:
Reliability Engineering and System Safety, 180, 77-87. Elsevier
Wind energy has become an increasingly desirable and viable renewable energy source in recent years. However, wind energy faces a number of challenges, one of them being risks to public safety from wind turbine failures. This paper provides an analys
Autor:
Ibsen Chivatá Cárdenas
Publikováno v:
Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards. 13:53-65
In this paper, we report on the use of Bayesian networks, BNs, learnt from data generated by physical and numerical models, to overcome to a certain degree a number of complications in traditional ...
Publikováno v:
International journal of project management, 35(3), 432-450. Elsevier
A new project governance model for infrastructure projects is described in this paper. This model contains causal mechanisms that relate a number of project governance variables to project performance. Our proposed model includes relevant variables f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19c3e7196e44e15c84091741353e9d02
https://research.utwente.nl/en/publications/1ca732e9-9182-4c78-8dd2-658e9c6ae2ab
https://research.utwente.nl/en/publications/1ca732e9-9182-4c78-8dd2-658e9c6ae2ab
Autor:
Wim van de Linde, Ibsen Chivatá Cárdenas, Johannes I.M. Halman, Saad S. H. Al-Jibouri, Frank Kaalberg
Publikováno v:
Risk Analysis. 34:1923-1943
The authors of this article have developed six probabilistic causal models for critical risks in tunnel works. The details of the models' development and evaluation were reported in two earlier publications of this journal. Accordingly, as a remainin
Publikováno v:
Risk Analysis. 34:323-339
Knowledge on failure events and their associated factors, gained from past construction projects, is regarded as potentially extremely useful in risk management. However, a number of circumstances are constraining its wider use. Such knowledge is usu
Publikováno v:
Risk Analysis. 33:92-108
Risk-related knowledge gained from past construction projects is regarded as potentially extremely useful in risk management. This article describes a proposed approach to capture and integrate risk-related knowledge to support decision making in con
Autor:
Ibsen Chivatá Cárdenas
Publikováno v:
Ingeniería e Investigación, Volume: 28, Issue: 1, Pages: 26-40, Published: APR 2008
Ingeniería e Investigación, Vol 28, Iss 1, Pp 26-40 (2008)
Ingeniería e Investigación, Vol 28, Iss 1, Pp 26-40 (2008)
Se muestra el proceso de estimación de un modelo de susceptibilidad por deslizamientos inducidos por lluvia para la ciudad de Manizales, capital en donde la ocurrencia de deslizamientos es el principal problema ambiental. Se emplearon las herramient