Seismic displacement demand prediction in non-linear domain: Optimization of the N2 method View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-01

AUTHORS

Lorenzo Diana, Andrea Manno, Pierino Lestuzzi

ABSTRACT

In Europe, computation of displacement demand for seismic assessment of existing buildings is essentially based on a simplified formulation of the N2 method as prescribed by Eurocode 8 (EC8). However, a lack of accuracy of the N2 method in certain conditions has been pointed out by several studies. This paper addresses the assessment of effectiveness of the N2 method in seismic displacement demand determination in non-linear domain. The objective of this work is to investigate the accuracy of the N2 method through comparison with displacement demands computed using non-linear time-history analysis (NLTHA). Results show that the original N2 method may lead to overestimation or underestimation of displacement demand predictions. This may affect results of mechanical model-based assessment of seismic vulnerability at an urban scale. Hence, the second part of this paper addresses an improvement of the N2 method formula by empirical evaluation of NLTHA results based on EC8 ground-classes. This task is formulated as a mathematical programming problem in which coefficients are obtained by minimizing the overall discrepancy between NLTHA and modified formula results. Various settings of the mathematical programming problem have been solved using a global optimization metaheuristic. An extensive comparison between the original N2 method formulation and optimized formulae highlights benefits of the strategy. More... »

PAGES

141-158

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11803-019-0495-8

DOI

http://dx.doi.org/10.1007/s11803-019-0495-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111498887


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0404", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Geophysics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Earth Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", 
          "id": "https://www.grid.ac/institutes/grid.5333.6", 
          "name": [
            "EPFL \u2013 ENAC \u2013 IIC \u2013 IMAC, B\u00e2timent GC (G1.567), Station 18, CH-1015, Lausanne, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Diana", 
        "givenName": "Lorenzo", 
        "id": "sg:person.013343507254.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013343507254.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Polytechnic University of Milan", 
          "id": "https://www.grid.ac/institutes/grid.4643.5", 
          "name": [
            "DEIB, Politecnico di Milano, Milan, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Manno", 
        "givenName": "Andrea", 
        "id": "sg:person.014754005116.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014754005116.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne", 
          "id": "https://www.grid.ac/institutes/grid.5333.6", 
          "name": [
            "EPFL \u2013 ENAC \u2013 IIC \u2013 IMAC, B\u00e2timent GC (G1.567), Station 18, CH-1015, Lausanne, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lestuzzi", 
        "givenName": "Pierino", 
        "id": "sg:person.010146011335.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010146011335.70"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1023/a:1008250020656", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000941867", 
          "https://doi.org/10.1023/a:1008250020656"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2478/cait-2012-0021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002834911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11069-016-2420-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003076284", 
          "https://doi.org/10.1007/s11069-016-2420-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11069-016-2420-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003076284", 
          "https://doi.org/10.1007/s11069-016-2420-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10518-014-9585-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008296465", 
          "https://doi.org/10.1007/s10518-014-9585-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/eqe.271", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008925661"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/a:1008202821328", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012950914", 
          "https://doi.org/10.1023/a:1008202821328"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10518-009-9139-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020246326", 
          "https://doi.org/10.1007/s10518-009-9139-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10518-009-9139-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020246326", 
          "https://doi.org/10.1007/s10518-009-9139-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10518-009-9139-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020246326", 
          "https://doi.org/10.1007/s10518-009-9139-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.soildyn.2016.01.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020668047"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10518-007-9050-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028978800", 
          "https://doi.org/10.1007/s10518-007-9050-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10518-007-9050-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028978800", 
          "https://doi.org/10.1007/s10518-007-9050-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10518-006-9016-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032277470", 
          "https://doi.org/10.1007/s10518-006-9016-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10518-006-9024-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035542175", 
          "https://doi.org/10.1007/s10518-006-9024-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10518-006-9024-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035542175", 
          "https://doi.org/10.1007/s10518-006-9024-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1193/1.1586128", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038120974"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.engstruct.2015.01.035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039129185"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/eqe.4290230504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039675657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/eqe.4290230504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039675657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1193/1.1585778", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044492095"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1193/1.1585541", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048835991"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1193/1.3459159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049972247"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/eqe.2862", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053924631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1061/(asce)0733-9445(2008)134:11(1685)", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057601453"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-01", 
    "datePublishedReg": "2019-01-01", 
    "description": "In Europe, computation of displacement demand for seismic assessment of existing buildings is essentially based on a simplified formulation of the N2 method as prescribed by Eurocode 8 (EC8). However, a lack of accuracy of the N2 method in certain conditions has been pointed out by several studies. This paper addresses the assessment of effectiveness of the N2 method in seismic displacement demand determination in non-linear domain. The objective of this work is to investigate the accuracy of the N2 method through comparison with displacement demands computed using non-linear time-history analysis (NLTHA). Results show that the original N2 method may lead to overestimation or underestimation of displacement demand predictions. This may affect results of mechanical model-based assessment of seismic vulnerability at an urban scale. Hence, the second part of this paper addresses an improvement of the N2 method formula by empirical evaluation of NLTHA results based on EC8 ground-classes. This task is formulated as a mathematical programming problem in which coefficients are obtained by minimizing the overall discrepancy between NLTHA and modified formula results. Various settings of the mathematical programming problem have been solved using a global optimization metaheuristic. An extensive comparison between the original N2 method formulation and optimized formulae highlights benefits of the strategy.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11803-019-0495-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136595", 
        "issn": [
          "1671-3664", 
          "1993-503X"
        ], 
        "name": "Earthquake Engineering and Engineering Vibration", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "18"
      }
    ], 
    "name": "Seismic displacement demand prediction in non-linear domain: Optimization of the N2 method", 
    "pagination": "141-158", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9566cb89814c5183bdd01bf26ce60093672cbdc8c2470366c2ea935e4b3e9bf6"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11803-019-0495-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111498887"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11803-019-0495-8", 
      "https://app.dimensions.ai/details/publication/pub.1111498887"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:42", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000321_0000000321/records_74921_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11803-019-0495-8"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11803-019-0495-8'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11803-019-0495-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11803-019-0495-8'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11803-019-0495-8'


 

This table displays all metadata directly associated to this object as RDF triples.

143 TRIPLES      21 PREDICATES      46 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11803-019-0495-8 schema:about anzsrc-for:04
2 anzsrc-for:0404
3 schema:author Nf619a4fec6bb4fc0af14e4d209083eaa
4 schema:citation sg:pub.10.1007/s10518-006-9016-z
5 sg:pub.10.1007/s10518-006-9024-z
6 sg:pub.10.1007/s10518-007-9050-5
7 sg:pub.10.1007/s10518-009-9139-0
8 sg:pub.10.1007/s10518-014-9585-1
9 sg:pub.10.1007/s11069-016-2420-z
10 sg:pub.10.1023/a:1008202821328
11 sg:pub.10.1023/a:1008250020656
12 https://doi.org/10.1002/eqe.271
13 https://doi.org/10.1002/eqe.2862
14 https://doi.org/10.1002/eqe.4290230504
15 https://doi.org/10.1016/j.engstruct.2015.01.035
16 https://doi.org/10.1016/j.soildyn.2016.01.005
17 https://doi.org/10.1061/(asce)0733-9445(2008)134:11(1685)
18 https://doi.org/10.1193/1.1585541
19 https://doi.org/10.1193/1.1585778
20 https://doi.org/10.1193/1.1586128
21 https://doi.org/10.1193/1.3459159
22 https://doi.org/10.2478/cait-2012-0021
23 schema:datePublished 2019-01
24 schema:datePublishedReg 2019-01-01
25 schema:description In Europe, computation of displacement demand for seismic assessment of existing buildings is essentially based on a simplified formulation of the N2 method as prescribed by Eurocode 8 (EC8). However, a lack of accuracy of the N2 method in certain conditions has been pointed out by several studies. This paper addresses the assessment of effectiveness of the N2 method in seismic displacement demand determination in non-linear domain. The objective of this work is to investigate the accuracy of the N2 method through comparison with displacement demands computed using non-linear time-history analysis (NLTHA). Results show that the original N2 method may lead to overestimation or underestimation of displacement demand predictions. This may affect results of mechanical model-based assessment of seismic vulnerability at an urban scale. Hence, the second part of this paper addresses an improvement of the N2 method formula by empirical evaluation of NLTHA results based on EC8 ground-classes. This task is formulated as a mathematical programming problem in which coefficients are obtained by minimizing the overall discrepancy between NLTHA and modified formula results. Various settings of the mathematical programming problem have been solved using a global optimization metaheuristic. An extensive comparison between the original N2 method formulation and optimized formulae highlights benefits of the strategy.
26 schema:genre research_article
27 schema:inLanguage en
28 schema:isAccessibleForFree false
29 schema:isPartOf N804e06d97aa8420f95af2e0f4bbe684e
30 N90428303500f4195bb378e2748c9051c
31 sg:journal.1136595
32 schema:name Seismic displacement demand prediction in non-linear domain: Optimization of the N2 method
33 schema:pagination 141-158
34 schema:productId N48b42801784c48e3ac0b25dec916c3ba
35 N573a1e77ba3642b28647f02f0a5fb1ce
36 N83cc4fbbb57445a5a4fd771673c16d16
37 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111498887
38 https://doi.org/10.1007/s11803-019-0495-8
39 schema:sdDatePublished 2019-04-11T08:42
40 schema:sdLicense https://scigraph.springernature.com/explorer/license/
41 schema:sdPublisher N4e6e5e8309514fa296676560698d8d37
42 schema:url https://link.springer.com/10.1007%2Fs11803-019-0495-8
43 sgo:license sg:explorer/license/
44 sgo:sdDataset articles
45 rdf:type schema:ScholarlyArticle
46 N48b42801784c48e3ac0b25dec916c3ba schema:name readcube_id
47 schema:value 9566cb89814c5183bdd01bf26ce60093672cbdc8c2470366c2ea935e4b3e9bf6
48 rdf:type schema:PropertyValue
49 N4e6e5e8309514fa296676560698d8d37 schema:name Springer Nature - SN SciGraph project
50 rdf:type schema:Organization
51 N573a1e77ba3642b28647f02f0a5fb1ce schema:name dimensions_id
52 schema:value pub.1111498887
53 rdf:type schema:PropertyValue
54 N7e441251ae6f4c38b265c050e4019240 rdf:first sg:person.014754005116.28
55 rdf:rest Nb6d2b763a94d4f26a0c315fc0616bf84
56 N804e06d97aa8420f95af2e0f4bbe684e schema:volumeNumber 18
57 rdf:type schema:PublicationVolume
58 N83cc4fbbb57445a5a4fd771673c16d16 schema:name doi
59 schema:value 10.1007/s11803-019-0495-8
60 rdf:type schema:PropertyValue
61 N90428303500f4195bb378e2748c9051c schema:issueNumber 1
62 rdf:type schema:PublicationIssue
63 Nb6d2b763a94d4f26a0c315fc0616bf84 rdf:first sg:person.010146011335.70
64 rdf:rest rdf:nil
65 Nf619a4fec6bb4fc0af14e4d209083eaa rdf:first sg:person.013343507254.88
66 rdf:rest N7e441251ae6f4c38b265c050e4019240
67 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
68 schema:name Earth Sciences
69 rdf:type schema:DefinedTerm
70 anzsrc-for:0404 schema:inDefinedTermSet anzsrc-for:
71 schema:name Geophysics
72 rdf:type schema:DefinedTerm
73 sg:journal.1136595 schema:issn 1671-3664
74 1993-503X
75 schema:name Earthquake Engineering and Engineering Vibration
76 rdf:type schema:Periodical
77 sg:person.010146011335.70 schema:affiliation https://www.grid.ac/institutes/grid.5333.6
78 schema:familyName Lestuzzi
79 schema:givenName Pierino
80 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010146011335.70
81 rdf:type schema:Person
82 sg:person.013343507254.88 schema:affiliation https://www.grid.ac/institutes/grid.5333.6
83 schema:familyName Diana
84 schema:givenName Lorenzo
85 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013343507254.88
86 rdf:type schema:Person
87 sg:person.014754005116.28 schema:affiliation https://www.grid.ac/institutes/grid.4643.5
88 schema:familyName Manno
89 schema:givenName Andrea
90 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014754005116.28
91 rdf:type schema:Person
92 sg:pub.10.1007/s10518-006-9016-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1032277470
93 https://doi.org/10.1007/s10518-006-9016-z
94 rdf:type schema:CreativeWork
95 sg:pub.10.1007/s10518-006-9024-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1035542175
96 https://doi.org/10.1007/s10518-006-9024-z
97 rdf:type schema:CreativeWork
98 sg:pub.10.1007/s10518-007-9050-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028978800
99 https://doi.org/10.1007/s10518-007-9050-5
100 rdf:type schema:CreativeWork
101 sg:pub.10.1007/s10518-009-9139-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020246326
102 https://doi.org/10.1007/s10518-009-9139-0
103 rdf:type schema:CreativeWork
104 sg:pub.10.1007/s10518-014-9585-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008296465
105 https://doi.org/10.1007/s10518-014-9585-1
106 rdf:type schema:CreativeWork
107 sg:pub.10.1007/s11069-016-2420-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1003076284
108 https://doi.org/10.1007/s11069-016-2420-z
109 rdf:type schema:CreativeWork
110 sg:pub.10.1023/a:1008202821328 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012950914
111 https://doi.org/10.1023/a:1008202821328
112 rdf:type schema:CreativeWork
113 sg:pub.10.1023/a:1008250020656 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000941867
114 https://doi.org/10.1023/a:1008250020656
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1002/eqe.271 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008925661
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1002/eqe.2862 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053924631
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1002/eqe.4290230504 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039675657
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1016/j.engstruct.2015.01.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039129185
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1016/j.soildyn.2016.01.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020668047
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1061/(asce)0733-9445(2008)134:11(1685) schema:sameAs https://app.dimensions.ai/details/publication/pub.1057601453
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1193/1.1585541 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048835991
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1193/1.1585778 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044492095
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1193/1.1586128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038120974
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1193/1.3459159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049972247
135 rdf:type schema:CreativeWork
136 https://doi.org/10.2478/cait-2012-0021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002834911
137 rdf:type schema:CreativeWork
138 https://www.grid.ac/institutes/grid.4643.5 schema:alternateName Polytechnic University of Milan
139 schema:name DEIB, Politecnico di Milano, Milan, Italy
140 rdf:type schema:Organization
141 https://www.grid.ac/institutes/grid.5333.6 schema:alternateName École Polytechnique Fédérale de Lausanne
142 schema:name EPFL – ENAC – IIC – IMAC, Bâtiment GC (G1.567), Station 18, CH-1015, Lausanne, Switzerland
143 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...