Structural　engineering　experiment　plays　an　important　role　in　the　civil　infrastructure　design　and　research.　The　diversity　and　heterogeneity　of　information　representation　among　multiple　experimental　sites　makes　the　experiment　information　integration　difficult　and　lead　to　the　poor　accuracy　when　making　the　keyword　matching-based　information　retrival.　Aiming　on　this　issue,　an　ontology-based　knowledge　model　called　SEKM　is　proposed　in　this　paper.　Based　on　the　domain　knowledge,　SEKM　is　composed　of　the　concept　model　SEDO(Structural　Engineering　Domain　Ontology)　and　the　rule　base　SERB(Structural　Engineering　Rule　Base),　and　provide　the　uniform　experiment　information　representation　in　the　structural　engineering　field.　To　enhance　the　knowledge　representation　power　of　SEKM,　an　evolution-based　rule　base　optimization　method　is　present,　which　enrich　the　rule　base　with　the　online　analysis　of　the　statistical　information　about　SEKM　accessing.　SEKM　is　initially　implemented　based　on　OWL　2　specification　and　has　been　adopted　in　the　experiment　information　management　by　Structural　Engineering　Experimental　Center　of　Beijing　University　of　Technology.　©　2010　IEEE.