The control, at the design stage, of risks related to buildings management over time
Open accessAbstract
In the present paper an apparatus of tools and methods is presented to evaluate, at the design stage, the risks over a set of objectives through buildings lifetime. To this purpose a tool is first presented to relate technological requirements of each technical elements to the pertinent maintenance interventions. Then a process is also proposed to estimate the risks on user requirements runningMonte Carlo simulations. The risk management process proposed in the present work aims to support designers and promoters in making predictions on the outcomes of long, not standardized, multivariable dependent processes – as the building process is – in order to indicate the attitude of a designed building to meet a framework of important objectives through its lifetime.
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Feedback from use and maintenance of reused elements during their previous life could guide a possible future maintenance scheme in their new phase.
“In the case of reused elements, the feedback from their use and maintenance (Martani et al., 2013) during their previous life could be a guide to a possible future maintenance scheme in their new phase of life.”
From The Uncertainty of Reusable Building Components/Materials A Subsidiary of Circular Economy in the Africa Construction Sector: The Issue of Affordable Housing in Kenya (2024) · cites this paper as Martani et al., 2013
The Introduction says feedback from the use and maintenance of elements and components can inform future design. It does not specifically address reused elements or using records from an element’s previous life to plan maintenance in its new one. The indexed copy provides no page number for this passage. (LLM, conf=0.85)
Experimental — accuracy not yet measuredPrior simulation work was not intended for designing with reusable building components/materials.
“The simulation was not intended for designing with reusable building components/materials.”
From The Uncertainty of Reusable Building Components/Materials A Subsidiary of Circular Economy in the Africa Construction Sector: The Issue of Affordable Housing in Kenya (2024) · cites this paper as Martani et al., 2013
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Research works printed but not linked: 4
- Aven, T. and Zio, E. (2011), "Some considerations on the treatment of uncer- tainties in risk assessment for practical decision making", Reliability Enginee- ring and System Safety, n. 96, pp. 64-74.
- De Finetti, B. (1990), Theory of probability. A critical introductory tratement, Wiley & Sons. Chichester.
- Gigerenzer, G. (2002), Reckoning with risk: learning to live with uncertainty, Penguin book, London.
- De neufville, R. and Scholtes, S. (2011), Flexibility in Engineering Design, MIT press, Cambridge (MA).
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(2024) · Journal of Materials and Polymer Science · doi:10.47485/2832-9384.1053
- Authors
- Martani, C., Talamo, C., & Paganin, G.
- Affiliations
- Politecnico di Milano (IT)
- Venue
- TECHNE - Journal of Technology for Architecture and Environment
- Publisher
- Firenze University Press
- Published
- 2013-10-24
- Pages
- 109-116
- ISSN
- 2239-0243 (ISSN-L)
- OpenAlex
- W1548449923
- Cited by
- 2
- References
- 0
- Citations by year
- 2024: 1 · 2019: 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- TECHNE - Journal of Technology for Architecture and Environment (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Accounting › Life Cycle Costing Analysis
- Social Sciences › Decision Sciences › Management Science and Operations Research › Construction Project Management and Performance
- Physical Sciences › Engineering › Building and Construction › BIM and Construction Integration
- Keywords
- building lifetime, design phase, maintenance interventions, technology requirements, user requirements, Monte Carlo simulation, risk assessment, building process, long-term performance prediction
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