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Scheda Riassuntiva
Anno Accademico 2019/2020
Tipo incarico Dottorato
Insegnamento 053594 - FUTURE-PROOF DESIGN. PROCESSES AND METHODS TO MINIMIZE THE RISK OF INADEQUATE LEVEL OF SERVICE THROUGH TIME
Docente Talamo Cinzia Maria Luisa
Cfu 5.00 Tipo insegnamento Monodisciplinare

Corso di Dottorato Da (compreso) A (escluso) Insegnamento
MI (1367) - ARCHITETTURA, INGEGNERIA DELLE COSTRUZIONI E AMBIENTE COSTRUITO / ARCHITECTURE, BUILT ENVIRONMENT AND CONSTRUCTION ENGINEERINGAZZZZ053594 - FUTURE-PROOF DESIGN. PROCESSES AND METHODS TO MINIMIZE THE RISK OF INADEQUATE LEVEL OF SERVICE THROUGH TIME

Programma dettagliato e risultati di apprendimento attesi

Short description

The course presents tools and methods to optimize the maintainability and flexibility of infrastructure and construction so to ensure that these provide an adequate level of service under uncertain future conditions. This includes methods to rigorously quantify the level of service, model the uncertainty over variable parameters, identify maintainable and flexible design solutions, run simulations to estimate their impact (i.e. costs of interventions and risk on the service) and identify the optimal balance with the costs of construction.

 

Detailed description

The scope of the course is to provide the students with (i) the consciousness of the centrality of the design in determine the risk of an inadequate level of service of infrastructure (e.g. roads, rails, etc.) and construction (e.g. buildings) through time, and (ii) the tools to validate the adequacy of proposed design solutions considering uncertain future.

A future-proof design is the one that minimize the loss in level of service (LOS) over time, given the resources available for interventions. The loss in LOS of infrastructure and construction is the divergence between the LOS provided and the LOS required. Both LOSs varies through time: the former due to deterioration processes (i.e. drops in LOS provided), the latter due to the obsolescence of requirements (i.e. modification in LOS required from these originally agreed on at the brief).

The interventions to contrast both phenomena (maintenance and renewal interventions) requires resources to be performed, the magnitude of which is strongly dependent on the design choices. On the one hand, the costs for maintenance (i.e. interventions to contrast the deterioration) depend on the adequacy of the designed maintainability to the deterioration rate of the technical solutions chosen. On the other hand, the costs of interventions for adaptation/renewal (i.e. interventions to contrast the obsolescence of requirements) depend on the adequacy of the designed flexibility to the changes in contextual conditions.

To guarantee the long-term adequacy of the LOS it is necessary that the maintainability and flexibility provided by design are proportioned to the foreseen budget for interventions over time (i.e. that the budget is sufficient to conduct the required interventions). At this scope it is particularly useful to be able to estimate maintenance needs (and budget) and adaptation potential. Indeed, the uncertainty of the future use of the building and the restricted amount of money to be invested in maintenance cannot obstruct a proper planning of building operation and maintenance. Moreover, being able to assess the uncertainty of the appraisal made, could be a powerful instrument to lower OM&R costs.

Of course a balance is required in the implementation of future-proof design solutions. Indeed, as rising the level of maintainability and flexibility could explode the initial investments, this should only be done when costs are justified by the benefits (i.e. the loss in LOS avoided through the interventions performed).

To prevent both over and under investments in future-proof design solutions for infrastructure and construction a set of processes and methods are required that enable the validation of the design proposals based on the estimated balance between the additional costs of implementing maintainable and flexible design solutions and the minimization of the risk of inadequate LOS through time.

To provide such an evaluation capability the present course is structured as presented in the next section.

Structure of the course

The course is structured in 10 classes distributed over 4 parts: introduction, validation of maintainability, validation of flexibility, and conclusion. General information on classes, along with tasks assignment, are given in Table 1. The main contents of each class is synthetically presented in the following sections, along with a brief description of the learning material that will be used in class. Please note that the students don’t need to own anything beside a PC with Microsoft Office package, i.e. all material will be provided by the lectures.

 

Table 1- Detailed agenda of the course

P

Class

Day (Hrs)

[T]

Title

Lect.

[Cl.]

Description

INTRO

C1

27/1

(2)

[13-15]

Introduction

CM

[]

In this class the topic of “future-proof design” is firstly introduced. This include discussing the life cycle of construction and infrastructure, their level of service and how this can be rigorously quantified (i.e. structuring the impact hierarchy), the uncertainty on deterioration and obsolescence and their impact on the service, and the role of design in influencing the costs in operation.

VALIDATION OF MAINTAINABILITY

C2

28/1 (3) [13-16]

Indicators of service

CM []

This is the first class of the part on “validation of maintainability”. Here the most common indicators of how the condition states of the construction and infrastructure influence the service are introduced. In particular, the concept of reliability, availability, and maintainability are explained, along with the basic methods to estimate such indicators.

C3

29/1 (4) [12-16]

Condition state transition and impact on the service

CM []

In this class the use of Markov Model to simulate the evolution of infrastructure and constructions condition states is explained. Moreover a methodology is presented to rigorously account for the impacts on all stakeholders (according to the impact hierarchy) due to the deterioration of infrastructures. The class will include: consistently define objects maintainability and, estimate intervention costs according to the maintainability level.

C4

30/1 (4) [13-17]

Maintenance budget

SM []

In this class the concepts of maintenance scheduling and budgeting are shown together with practical examples. Maintenance could be planned taking into account uncertainty of multiple factors (e.g. degradation, budget, scheduling, external factors, etc.), allowing to lower risks and to avoid peaks of expenses.

C5

31/1 (3) [13-16]

Systems

CM []

In this class the most common methods to estimate the effect of objects failure on systems are introduced. This include explaining the concept and the functioning fault trees and event tree analysis, along with methods to analyse the importance of each component in the overall system performance.

C6

3/2 (3)

[13-16]

Data Management

CM []

In this class the use of information management systems for construction and infrastructure management is introduced, along with the use of Bayesian network for data analysis and data update. This include discussing the challenges of data gathering, storing, consulting and updating in long-lasting complex processes, such as the construction and management processes.

VALIDATION OF FLEXIBILITY

C7

4/2 morn. (3) [10-13]

 

Real option methodology

CM []

This is the first class of the part on “validation of flexibility”. Here the Real Options Methodology (ROM) is introduced, which includes the development of flexible/adaptable designs and the simulation of scenario to evaluate their impact.

4/2 after. (4) [14-18]

Building adaptable potential

SM []

In this class the concept of “adaptable building” is presented with a series of examples. The adaptability is a wide concept that should be broken down into multiple indicators (e.g. flexibility, movability, convertibility, etc.), thus to be evaluated during design of both new constructions and refurbishment interventions.

C8

5/2 (4) [13-17]

MC in ROM

CM []

In this class the use of the Monte Carlo (MC) method to simulate future scenarios in the ROM is presented. The class is organized in two sections: in the first the MC is explained, along with its integration within the ROM. In the second an exercise is done in class to explain the functioning in practice of the MC in the ROM.

C9

6/2 (4) [13-17]

BT in ROM

CM []

In this class the use of the Binomial Tree (BT) method to simulate future scenarios in the ROM is presented. The class is organized in two sections: in the first the BT is explained, along with its integration within the ROM. In the second an exercise is done in class to explain the functioning in practice of the BT in the ROM.

CONCLUSION

C10

7/2 (2) [13-15]

Conclusions

CM []

In this class conclusions are drawn on the use of the methodologies to validate the design maintainability and flexibility to ensure “future-proof” construction and infrastructure. In the context of this class, the assignment for the essay is also explained.

*CM=Claudio Martani; SM= Sebastiano Maltese

 

Material

The material to study will be distributed before each class and will consist of: the PDF of the presentation of the day and pertinent readings. The readings, depending on the class, will be either a small script or a papers to ground the main theoretical concepts behind the presentation.

Evaluation

At the end of the course students are asked to write an essay in which they apply the tools and methods given in class to a case that is relevant for their thesis. The evaluation of the essay define the grade of the course.


Note Sulla Modalità di valutazione

At the end of the course students are asked to write an essay in which they apply the tools and methods given in class to a case that is relevant for their thesis. The evaluation of the essay define the grade of the course.


Intervallo di svolgimento dell'attività didattica
Data inizio
Data termine

Calendario testuale dell'attività didattica

 

- Nome Corso Compresso (Max. 12 caratteri): 4D Design
- Nome Corso Abbreviato (Max. 40 caratteri): Future-proof construction design

 

Course holder: Claudio Martani

Lecturers: Claudio Martani and Sebastiano Maltese

Time: 2 weeks: 27th to 31st of January; and 3th to 7th of February

Credits: 5 cfu


Bibliografia

Mix Forme Didattiche
Tipo Forma Didattica Ore didattiche
lezione
35.0
esercitazione
0.0
laboratorio informatico
0.0
laboratorio sperimentale
0.0
progetto
0.0
laboratorio di progetto
0.0

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese

Note Docente
schedaincarico v. 1.6.5 / 1.6.5
Area Servizi ICT
19/01/2021