diff --git a/README.md b/CHARISMA_intro.md similarity index 100% rename from README.md rename to CHARISMA_intro.md diff --git a/density-profiling-system/README.md b/density-profiling-system/Introduction.md similarity index 100% rename from density-profiling-system/README.md rename to density-profiling-system/Introduction.md diff --git a/density-profiling-system/case studies/text.txt b/density-profiling-system/Readme/text.txt similarity index 100% rename from density-profiling-system/case studies/text.txt rename to density-profiling-system/Readme/text.txt diff --git a/electrical-resistivity/README.md b/electrical-resistivity/Introduction.md similarity index 98% rename from electrical-resistivity/README.md rename to electrical-resistivity/Introduction.md index c858470..1a36d19 100644 --- a/electrical-resistivity/README.md +++ b/electrical-resistivity/Introduction.md @@ -1,16 +1,16 @@ -# Electrical Resistivity ER - -Electrical resistivity is used to determine reinforced concrete’s susceptibility to corrosion and regions susceptible to moisture and chloride penetration. - -Additional information about Electrical Resistivity can be found [`here`](https://infotechnology.fhwa.dot.gov/wp-content/themes/nde/inc/mpdf-development/Generatedpdfs/ElectricalResistivityER.pdf). - -## Installation - -Inorder to run all of the algorithms developed for Electrical Resistivity, [`charisma-env`](https://github.com/TFHRCFASTNDElab/CHARISMA/blob/main/environment) environment is required. - -We strongly recommend installing [`charisma-env`](https://github.com/TFHRCFASTNDElab/CHARISMA/blob/main/environment) via conda. - - -## ER Mapping - -[`ERMapping`](https://github.com/TFHRCFASTNDElab/CHARISMA/tree/main/electrical-resistivity/ERMapping) is the conventional form of ER data analysis in which we create condition maps by mapping the resistivity value to the location of ER test point on the specimen. +# Electrical Resistivity ER + +Electrical resistivity is used to determine reinforced concrete’s susceptibility to corrosion and regions susceptible to moisture and chloride penetration. + +Additional information about Electrical Resistivity can be found [`here`](https://infotechnology.fhwa.dot.gov/wp-content/themes/nde/inc/mpdf-development/Generatedpdfs/ElectricalResistivityER.pdf). + +## Installation + +Inorder to run all of the algorithms developed for Electrical Resistivity, [`charisma-env`](https://github.com/TFHRCFASTNDElab/CHARISMA/blob/main/environment) environment is required. + +We strongly recommend installing [`charisma-env`](https://github.com/TFHRCFASTNDElab/CHARISMA/blob/main/environment) via conda. + + +## ER Mapping + +[`ERMapping`](https://github.com/TFHRCFASTNDElab/CHARISMA/tree/main/electrical-resistivity/ERMapping) is the conventional form of ER data analysis in which we create condition maps by mapping the resistivity value to the location of ER test point on the specimen. diff --git a/ground-penetrating-radar/README.md b/ground-penetrating-radar/Introduction.md similarity index 100% rename from ground-penetrating-radar/README.md rename to ground-penetrating-radar/Introduction.md diff --git a/ground-penetrating-radar/case studies/Cover depth measurement/text.txt b/ground-penetrating-radar/Readme/Cover depth measurement/text.txt similarity index 100% rename from ground-penetrating-radar/case studies/Cover depth measurement/text.txt rename to ground-penetrating-radar/Readme/Cover depth measurement/text.txt diff --git a/ground-penetrating-radar/case studies/Rebar corrosion/test.txt b/ground-penetrating-radar/Readme/Rebar corrosion/test.txt similarity index 100% rename from ground-penetrating-radar/case studies/Rebar corrosion/test.txt rename to ground-penetrating-radar/Readme/Rebar corrosion/test.txt diff --git a/ground-penetrating-radar/case studies/Rebar mapping/Case_study.md b/ground-penetrating-radar/Readme/Rebar mapping/Case study.md similarity index 100% rename from ground-penetrating-radar/case studies/Rebar mapping/Case_study.md rename to ground-penetrating-radar/Readme/Rebar mapping/Case study.md diff --git a/ground-penetrating-radar/case studies/Rebar mapping/notebooks/Lab_specimen_notebook.ipynb b/ground-penetrating-radar/Readme/Rebar mapping/notebooks/Lab_specimen_notebook.ipynb similarity index 100% rename from ground-penetrating-radar/case studies/Rebar mapping/notebooks/Lab_specimen_notebook.ipynb rename to ground-penetrating-radar/Readme/Rebar mapping/notebooks/Lab_specimen_notebook.ipynb diff --git a/ground-penetrating-radar/case studies/Rebar mapping/notebooks/Mississippi_bridge_notebook.ipynb b/ground-penetrating-radar/Readme/Rebar mapping/notebooks/Mississippi_bridge_notebook.ipynb similarity index 100% rename from ground-penetrating-radar/case studies/Rebar mapping/notebooks/Mississippi_bridge_notebook.ipynb rename to ground-penetrating-radar/Readme/Rebar mapping/notebooks/Mississippi_bridge_notebook.ipynb diff --git a/half-cell-potential/README.md b/half-cell-potential/Introduction.md similarity index 98% rename from half-cell-potential/README.md rename to half-cell-potential/Introduction.md index 2387b30..7c78690 100644 --- a/half-cell-potential/README.md +++ b/half-cell-potential/Introduction.md @@ -1,17 +1,17 @@ -# Half Cell Potential HCP - -The Half Cell Potential (HCP) method can be used to identify corrosion activity of steel reinforcement in reinforced concrete structures. However, the method cannot directly measure the degree of corrosion. - - -Additional information about Half Cell Potential can be found [`here`](https://infotechnology.fhwa.dot.gov/wp-content/themes/nde/inc/mpdf-development/Generatedpdfs/Half-CellPotentialHCP.pdf). - -## Installation - -Inorder to run all of the algorithms developed for Half Cell Potential, [`charisma-env`](https://github.com/TFHRCFASTNDElab/CHARISMA/blob/main/environment) environment is required. - -We strongly recommend installing [`charisma-env`](https://github.com/TFHRCFASTNDElab/CHARISMA/blob/main/environment) via conda. - - -## HCP Mapping - -[`HCPMapping`](https://github.com/TFHRCFASTNDElab/CHARISMA/tree/main/half-cell-potential/HCPMapping) is the conventional form of HCP data analysis in which we create condition maps by mapping the HCP measurement to the location of HCP test point on the specimen. +# Half Cell Potential HCP + +The Half Cell Potential (HCP) method can be used to identify corrosion activity of steel reinforcement in reinforced concrete structures. However, the method cannot directly measure the degree of corrosion. + + +Additional information about Half Cell Potential can be found [`here`](https://infotechnology.fhwa.dot.gov/wp-content/themes/nde/inc/mpdf-development/Generatedpdfs/Half-CellPotentialHCP.pdf). + +## Installation + +Inorder to run all of the algorithms developed for Half Cell Potential, [`charisma-env`](https://github.com/TFHRCFASTNDElab/CHARISMA/blob/main/environment) environment is required. + +We strongly recommend installing [`charisma-env`](https://github.com/TFHRCFASTNDElab/CHARISMA/blob/main/environment) via conda. + + +## HCP Mapping + +[`HCPMapping`](https://github.com/TFHRCFASTNDElab/CHARISMA/tree/main/half-cell-potential/HCPMapping) is the conventional form of HCP data analysis in which we create condition maps by mapping the HCP measurement to the location of HCP test point on the specimen. diff --git a/impact-echo/README.md b/impact-echo/Introduction.md similarity index 100% rename from impact-echo/README.md rename to impact-echo/Introduction.md diff --git a/phased-array-ultrasonic-testing/README.md b/phased-array-ultrasonic-testing/Introduction.md similarity index 100% rename from phased-array-ultrasonic-testing/README.md rename to phased-array-ultrasonic-testing/Introduction.md