LEADER 00801nam0-2200289---450- 001 990008354610403321 005 20060629144139.0 035 $a000835461 035 $aFED01000835461 035 $a(Aleph)000835461FED01 035 $a000835461 100 $a20060629d1940----km-y0itay50------ba 101 0 $aita 102 $aIT 105 $ay-------001yy 200 1 $aLingua Tigrina$fConti Rossini Carlo 210 $aRoma$cMondadori$d1940 215 $a278 p.$d19 cm 225 1 $aGrammatiche e lessici delle lingue dell'Africa italiana 700 1$aConti Rossini,$bCarlo$f<1872-1949>$0181106 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990008354610403321 952 $aM-04-091$bIst. 3990$fILFGE 959 $aILFGE 996 $aLingua Tigrina$9721661 997 $aUNINA LEADER 00730nam0-22002891i-450- 001 990005929960403321 005 20050323114139.0 035 $a000592996 035 $aFED01000592996 035 $a(Aleph)000592996FED01 035 $a000592996 100 $a20000112d1898----km-u0itay50------ba 101 0 $aita 102 $aIT 105 $ay---n---001yy 200 1 $a<>bancarotta$fSilvio Longhi 210 $aMilano$cHoepli$d1898 215 $a363 p.$d24 cm 676 $a345$v11 rid.$zita 700 1$aLonghi,$bSilvio$0225390 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005929960403321 952 $aXII D 92$b11234$fFGBC 959 $aFGBC 996 $aBancarotta$9586115 997 $aUNINA LEADER 01247nam2-2200385li-450- 001 990000120560203316 005 20091022104723.0 035 $a0012056 035 $aUSA010012056 035 $a(ALEPH)000012056USA01 035 $a0012056 100 $a2001990101871978----y0itay0103----ba 101 0 $aeng 102 $aUS 200 1 $aStochastic optimal control$ethe discrete time case$fDimitri P. Bertsekas and Steven E. Shreve 210 $aNew York [etc.]$cAcademin Press$d1978 215 $aXIII, 323 p.$d24 cm 225 2 $aMathematics in science and engineering$v139 410 0$1001000333593$12001$aMathematics in science and engineering$v139 700 1$aBERTSEKAS,$bDimitri P.$08400 702 1$aSHREVE,$bSteven E. 801 $aIT$bsalbc$gISBD 912 $a990000120560203316 951 $a510 MSE (139)$b7334/CBS$c510$d00328968 959 $aBK 969 $aSCI 979 $c19901018 979 $c20001110$lUSA01$h1711 979 $c20020403$lUSA01$h1619 979 $aPATRY$b90$c20040406$lUSA01$h1609 979 $aRSIAV6$b90$c20091022$lUSA01$h1045 979 $aRSIAV6$b90$c20091022$lUSA01$h1047 979 $aRSIAV6$b90$c20091022$lUSA01$h1047 996 $aStochastic optimal control$9117328 997 $aUNISA LEADER 03899nam 2200397 450 001 9910647242103321 005 20230327121724.0 010 $a3-0365-6236-2 035 $a(CKB)5680000000300006 035 $a(NjHacI)995680000000300006 035 $a(EXLCZ)995680000000300006 100 $a20230327d2023 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAssessment, diagnosis and service life prediction /$fAna Silva, editor 210 1$a[Place of publication not identified] :$cMDPI - Multidisciplinary Digital Publishing Institute,$d[2023] 210 4$dİ2023 215 $a1 online resource (202 pages) 311 $a3-0365-6235-4 327 $aAbout the Editor -- Assessment, Diagnosis and Service Life Prediction -- Moisture Accumulation in Building Fac¸ades Exposed to Accelerated Artificial Climatic Ageing-A Complementary Analysis to NT Build 495 -- Improvement of the Inspection Interval of Highway Bridges through Predictive Models of Deterioration -- How Long Can a Wood Flooring System Last? -- Degradation Assessment of Natural Stone Claddings over Their Service Life: Comparison between Tehran (Iran) and Lisbon (Portugal) -- Most Frequent Problems of Building Structures of Urban Apartment Buildings from 2nd Half of 19th Century and the Start of 20th Century -- Critical Analysis about Emerging Technologies for Building's Fac¸ade Inspection -- Microclimate of Air Cavities in Ventilated Roof and Fac¸ade Systems in Nordic Climates -- Structural Performance Assessment of Innovative Hollow Cellular Panels for Modular Flooring System -- Insurance Policies for Condition-Based Maintenance Plans of ETICS -- Integrated Building Maintenance and Safety Framework: Educational and Public Facilities Case Study. 330 $aService life prediction is crucial for the adoption of more sustainable solutions, allowing developers to optimize the costs and environmental impact of buildings during their life cycle. An accurate assessment of the service life of buildings requires a thorough understanding of the degradation mechanisms and behaviour of the construction materials. Building pathology assessment methods characterize the deterioration state of buildings, using specific measurable properties as indicators. Based on this information, different service life prediction methodologies can be defined to provide reliable data concerning the most probable failure time of whole buildings and individual components according to their characteristics and their age. This Special Issue provides new perspectives on the existing knowledge related with various aspects of the Assessment, Diagnosis and Service Life Prediction of buildings and their components. The ten original research studies published in this Special Issue result from research centres and university departments of Civil and Construction Engineering, Safety Management, Environmental Engineering, Geotechnical Engineering, and Architecture and the Built Environment, with relevant contributions from experts from Australia, Brazil, the Czech Republic, Hong Kong, Iran, Israel, Norway, Portugal, and Taiwan. The studies included in this Special Issue address topics related to: Building pathology assessment methods; Diagnosis of defects in buildings and components; Appropriate intervention and repair techniques; Deterministic and stochastic service life prediction models. 606 $aBuildings$xEnvironmental engineering 606 $aSustainable buildings 615 0$aBuildings$xEnvironmental engineering. 615 0$aSustainable buildings. 676 $a696 702 $aSilva$b Ana 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910647242103321 996 $aAssessment, Diagnosis and Service Life Prediction$93016393 997 $aUNINA LEADER 01291oam 2200373Ka 450 001 9910691904003321 005 20030801102058.0 035 $a(CKB)5470000002350379 035 $a(OCoLC)52543854 035 9 $aocm52543854 035 $a(OCoLC)995470000002350379 035 $a(EXLCZ)995470000002350379 100 $a20030702d2001 ua 0 101 0 $aspa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aGuia? del ciudadano para la oxidacion? quim?ica$b[electronic resource] 210 1$aWashington, D.C. :$cE.P.A., Office of Solid Waste and Emergency Response,$d[2001] 300 $aTitle from title screen (viewed on July 2, 2003). 300 $a"December 2001." 300 $a"EPA 542-F-01-013S." 606 $aOxidizing agents$vHandbooks, manuals, etc 606 $aIn situ remediation$vHandbooks, manuals, etc 608 $aHandbooks and manuals.$2lcgft 615 0$aOxidizing agents 615 0$aIn situ remediation 712 02$aUnited States.$bEnvironmental Protection Agency.$bOffice of Solid Waste and Emergency Response. 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910691904003321 996 $aGuia? del ciudadano para la oxidacion? quim?ica$93119105 997 $aUNINA LEADER 00842nam 2200253zu 450 001 9911024025103321 005 20250911150711.0 024 7 $a10.3390/books978-3-7258-3842-4 035 $a(CKB)40916479000041 035 $a(EXLCZ)9940916479000041 100 $a20250911|2025uuuu || | 101 0 $aeng 135 $aur||||||||||| 200 10$aOcean Remote Sensing Based on Radar, Sonar and Optical Techniques 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2025 215 $a1 electronic resource (372 p.) 311 08$a3-7258-3842-9 606 $aResearchandinformation:general 615 7$aResearchandinformation:general. 700 $aZhang$b Xuebo$01848263 906 $aBOOK 912 $a9911024025103321 996 $aOcean Remote Sensing Based on Radar, Sonar and Optical Techniques$94434618 997 $aUNINA