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Catégorie :Category: nCreator TI-Nspire
Auteur Author: superrain
Type : Classeur 3.0.1
Page(s) : 1
Taille Size: 2.11 Ko KB
Mis en ligne Uploaded: 04/03/2025 - 12:50:07
Uploadeur Uploader: superrain (Profil)
Téléchargements Downloads: 3
Visibilité Visibility: Archive publique
Shortlink : http://ti-pla.net/a4523834
Type : Classeur 3.0.1
Page(s) : 1
Taille Size: 2.11 Ko KB
Mis en ligne Uploaded: 04/03/2025 - 12:50:07
Uploadeur Uploader: superrain (Profil)
Téléchargements Downloads: 3
Visibilité Visibility: Archive publique
Shortlink : http://ti-pla.net/a4523834
Description
Fichier Nspire généré sur TI-Planet.org.
Compatible OS 3.0 et ultérieurs.
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I. Foundations: Structural components transferring loads from superstructure to soil/rock. Shallow Foundations: Used in strong soil; depth < footing width (<3m). Types: Pad Footings: Single column support. Economical for widely spaced columns. Strip Footings: Support load-bearing walls or closely spaced columns. Combined Footings: Support two or more columns. Used when columns are too close for individual footings. Raft Footings: Large, continuous footing covering entire building. Used on weak soil. Deep Foundations: Used in weak soil; depth > footing width. Types: Piles: Long, slender members transferring loads to deep strata. Types: Driven (vibration or hammer), Bored (drilled holes filled with concrete). End-bearing piles transfer load to bedrock; friction piles rely on soil friction. Caissons: Watertight structures sunk to required depth, filled with concrete. II. Bearing Capacity: Maximum load per unit area soil/rock can support. Increases with soil density and depth. III. Settlement: Uniform settlement is less damaging than differential settlement (uneven settling causing structural problems). IV. Monitoring Settlement: Levels and Staff: Measure height differences relative to a benchmark. Accurate to mm. Total Stations: Precise measurement of angles and distances. More expensive. Government Benchmarks: Provide height information (mPD - meters above Principal Datum). V. Case Study: Yuen Chau Kok Short Piling: Illustrates consequences of inadequate construction practices, leading to building demolition and significant financial losses. VI. Advanced Analysis (Leveling Net): Uses least squares method to analyze redundant data from leveling surveys and obtain best estimates of heights. Matrix approach is efficient for solving these problems. Made with nCreator - tiplanet.org
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Compatible OS 3.0 et ultérieurs.
<<
I. Foundations: Structural components transferring loads from superstructure to soil/rock. Shallow Foundations: Used in strong soil; depth < footing width (<3m). Types: Pad Footings: Single column support. Economical for widely spaced columns. Strip Footings: Support load-bearing walls or closely spaced columns. Combined Footings: Support two or more columns. Used when columns are too close for individual footings. Raft Footings: Large, continuous footing covering entire building. Used on weak soil. Deep Foundations: Used in weak soil; depth > footing width. Types: Piles: Long, slender members transferring loads to deep strata. Types: Driven (vibration or hammer), Bored (drilled holes filled with concrete). End-bearing piles transfer load to bedrock; friction piles rely on soil friction. Caissons: Watertight structures sunk to required depth, filled with concrete. II. Bearing Capacity: Maximum load per unit area soil/rock can support. Increases with soil density and depth. III. Settlement: Uniform settlement is less damaging than differential settlement (uneven settling causing structural problems). IV. Monitoring Settlement: Levels and Staff: Measure height differences relative to a benchmark. Accurate to mm. Total Stations: Precise measurement of angles and distances. More expensive. Government Benchmarks: Provide height information (mPD - meters above Principal Datum). V. Case Study: Yuen Chau Kok Short Piling: Illustrates consequences of inadequate construction practices, leading to building demolition and significant financial losses. VI. Advanced Analysis (Leveling Net): Uses least squares method to analyze redundant data from leveling surveys and obtain best estimates of heights. Matrix approach is efficient for solving these problems. Made with nCreator - tiplanet.org
>>
