Development of Methodology for Prediction of Remaining Life for Strain Hardening Cementitious Composite based structural elements
Project Description

Strain Hardening Cementitious Composite (SHCC) is a fiber reinforced material designed to exhibit strain hardening behavior under direct tension, accompanied by the formation of multiple cracks controlled to small widths and narrow spacing. From the literature and according to the design code of reinforced concrete structures, that concept of crack width limitation is positively correlated with durability of the structural element. Inherent crack control to fine widths in SHCC suggests that structural elements produced from SHCC may be rendered durable by limiting the ingress rates of water and potentially deleterious chemicals. However, as SHCC is a new material, a large amount of data on its performance is still lagging. It is hence unclear if available design rules/guidelines can reliably predict/ensure the expected service of the structure. To supplement the design guidelines, in-situ monitoring of the structure can be carried out to assess its actual behavior. The monitoring process can be automated with strategic integration of sensors. Nevertheless, an important question remains: even though we know the current state, is it possible to predict the future state and lifetime of the structural elements?
To answer this question, the following major sub problems needs to be investigated
A) Development of method or finding a macroscopic property to generalize the failure process
B) Creation of density function to represent temporal behavior of the failure process (i.e. forecast the expected failure)
C) Evaluation of uncertainty of the forecasted failure (since density function is inevitably an estimated representation of the unknown failure processes)

Supervisor
LEUNG Christopher Kin Ying
Quota
2
Course type
UROP1100
Applicant's Roles

The applicants will be involved in the casting and testing of different SHCC components, as well as data analysis and basic computer programming (Matlab and Excel).

Applicant's Learning Objectives

The objective is for the students to get exposed to mechanical testing methods in the laboratory, as well as data analysis techniques involving the use of Matlab and Excel.

Complexity of the project
Moderate