What Are Life Cycle Prediction Models?
Life cycle prediction models are engineering tools developed from an understanding of concrete performance, gained from basic material research and engineering practice and used to predict the life and establish the cost of a structure, including maintenance and repair. This cost is a balance between the initial fixed cost of construction labor and materials and the variable cost of extended maintenance and repair (subject to the time value of money). Poor initial choices in material selection or construction practices can lead to long-term maintenance and repair expenses that exceed the cost of construction.
Life Cycle Cost Of Concrete Construction
Some of the properties that may increase the useful life of a concrete structure and decrease life cycle cost are:
- Low permeability
- Increased corrosion resistance
- High compressive and flexure strength
- Improved resistance to sulfate attack
- Better resistance to alkali silica reactivity (ASR)
- Reduced thermal stress
Other important factors that can impact a concrete structure's life cycle include a structures relationship to the physical environment; structural design and detailing; mixture proportioning and admixtures; reinforcement; concrete production, placement and curing; and construction methods.
Slag Cement, Life Cycle Prediction And Cost
The use of slag cement to produce concrete can significantly improve the durability of concrete in several ways and consequently extends the life of concrete structures.
Chemically, slag cement improves resistance to aggressive sulfate solutions and mitigates deleterious reactions between cement alkalis and reactive silica in aggregates.
Physically, slag cement reduces the heat of hydration, thus lessening thermal cracking and improves ultimate compressive and flexural strength. During the life of the structure, these strengths normally increase well beyond the 28-day specified strength, significant- ly more than plain portland cement concrete.
Possibly the most important effect provided by the use of slag cement is decreased concrete permeability. Lowered permeability inhibits the ingress of chloride ions that can contribute to corrosion of reinforcing steel. Additionally, keeping water out of the concrete matrix significantly decreases susceptibility to many durability problems, such as sulfate attack and ASR.
A life cycle cost computer model (ACI Life 365)1, developed in cooperation with
the American Concrete Institute's Strategic Development Council, can be
used to evaluate the beneficial effect slag cement has on structural durability. It predicts
the time to corrosion onset, time for corrosion to reach an unacceptable level,
determines a repair schedule after first repair and finally estimates a life-cycle
cost based on the initial concrete cost and future repair costs. An example output
from this program is shown in Figure 1.
In a real-world example, the Maryland State Highway Administration constructed
a bridge deck for Route 64 in Smithburg, MD (Figure 2) and compared standard concrete with high performance concrete (HPC).3 Corrosion on the deck would initiate at 13
years. Adding epoxy-coated reinforcing steel inhibits corrosion for an additional 25 years. Use
of HPC that incorporated 40 percent slag cement, a corrosion-inhibiting admixture and fibers (to
limit cracking), increased time to first corrosion to 50 years, and time to significant repair to 75 years. The HPC bridge deck added only $15,000 to the cost of the structure but increased bridge life by an
estimated 37 years. The ACI Maryland Chapter recognized this project with an award for excellence
in concrete construction.
While all methods of providing durability should be considered when designing a structure,
slag cement can be an efficient and cost effective alternative to more expensive solutions, and
can easily be incorporated in an overall strategy to provide a concrete structure that minimizes
life cycle costs.
- Bentz, E., and Thomas, M., Life 365 Service Life Prediction Model (Version 1.1.0), Silica Fume Association, Cleveland, Ohio, 2001.
- Violetta, B., "Life 365 Service Life Prediction Model," pp 53-57, Concrete International, Farmington Hills, Michigan, December 2000.
- ACI 365.1R-00 Service-Life Prediction-State-of-the-Art Report, American Concrete Institute, Farmington Hills, Michigan, 2000.