Over the past two years, the concept of risk-based configuration contr
ol has been introduced to the US Nuclear Regulatory Commission and the
nuclear industry. Converting much of the current, deterministically b
ased regulation of nuclear power plants to risk-based regulation can r
esult in lower levels of risk while relieving unnecessary burdens on p
ower plant operators and regulatory staff. To achieve the potential be
nefits of risk-based configuration control, the risk models developed
for nuclear power plants should be (1) flexible enough to effectively
support necessary risk calculations, and (2) transparent enough to enc
ourage their use by all parties. To address these needs, SCIENTECH, In
c., has developed the PC-based REVEAL-W(TM) (formerly known as SMART).
This graphic-oriented and user-friendly application software allows t
he user to develop transparent complex logic models based on the conce
pt of the master plant logic diagram. The logic model is success-orien
ted and compact. It is also highly modularized and displays systems' i
nteractions in a hierarchical fashion. This modularity, combined with
the graphic Windows(TM) environment, allows the user to change easily
a portion of the plant logic, based on a change in configuration, and
immediately observe the effect of the change on the entire plant logic
. This capability makes REVEAL-W(TM) a suitable advisory tool for a pl
ant's maintenance and operating staffs, who can use it to analyze the
impact of their planned or unplanned maintenance or surveillance tests
on the plant's risk profile. The analytical capability built into REV
EAL-W(TM) is generic, so the software can support different types of r
isk-based evaluations, such as probabilistic safety assessment, accide
nt sequence precursor analysis, design evaluation and configuration ma
nagement. In this paper, we focus on the application of REVEAL-W(TM) t
o support risk-based configuration control of nuclear power plants.