Impact of Geotechnical Engineering on Infrastructure Lifespan and Maintenance Costs
Notice bibliographique
Résumé
Aim: To examine the impact of geotechnical engineering on infrastructure lifespan and maintenance costs. Problem Statement: The roles of geotechnical engineering in civil engineering infrastructures cannot be underestimated. It cuts across sub-divisional professions such as structural engineering, geology, mechanical engineering, construction engineering, environmental engineering, hydraulic engineering and so on. However, the study has great influence on the lifespan of infrastructure and their maintenance costs. Thus, more studies and literature surveys are still needed to reveal crucial information to geotechnical engineers, government, private sectors and related organizations. Significance of Study: This technical review critically examines the need to study the influence of geotechnical engineering on infrastructure lifespan and maintenance costs. Methodology: Recent relevant published articles, books and journals in the area of geotechnical engineering in relation to its impacts on the lifespan of infrastructure and their relevant maintenance costs were consulted. Discussion: In this technical review paper, the fundamental knowledge of geotechnical engineering and its interrelationship with infrastructure lifespan and their maintenance costs was examined. Applications of geotechnical engineering in relation with practicing fields were listed to include underground structures, roads and airports, supporting ground structures and excavations, subgrades and ground structures, foundation engineering and assessments of slope stability. Infrastructure life cycle was stated to comprise of four phases which include planning, preparation, procurement and implementation. Reference was made to a study on the effects of geotechnical risks on cost and schedule in infrastructure projects. It was concluded that slope Instability was the most significant risk factor based on both cost and schedule impacts having mean values of 3.06 and 3.02 respectively with reference to the survey results achieved from 47 professionals in the construction industry. The findings were recommended for governmental agencies and industry professionals whose professionalism is into infrastructure projects in order to recognize how geotechnical conditions influence time and cost overruns. Conclusion: Geotechnical engineering has great influence on the lifespan of infrastructure and their maintenance costs.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».